Giemsa 40x-G.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 238 images belonging to 2 classes.\n",
      "Found 60 images belonging to 2 classes.\n",
      "Epoch 1/25\n",
      "19/19 [==============================] - 141s 7s/step - loss: 0.8517 - acc: 0.5570 - val_loss: 0.6844 - val_acc: 0.5667\n",
      "Epoch 2/25\n",
      "19/19 [==============================] - 137s 7s/step - loss: 0.8125 - acc: 0.6404 - val_loss: 0.5572 - val_acc: 0.7667\n",
      "Epoch 3/25\n",
      "19/19 [==============================] - 137s 7s/step - loss: 0.6702 - acc: 0.6605 - val_loss: 0.5869 - val_acc: 0.6167\n",
      "Epoch 4/25\n",
      "19/19 [==============================] - 137s 7s/step - loss: 0.6066 - acc: 0.6667 - val_loss: 0.6385 - val_acc: 0.6500\n",
      "Epoch 5/25\n",
      "19/19 [==============================] - 136s 7s/step - loss: 0.5752 - acc: 0.7421 - val_loss: 2.6452 - val_acc: 0.4333\n",
      "Epoch 6/25\n",
      "19/19 [==============================] - 136s 7s/step - loss: 0.6403 - acc: 0.7035 - val_loss: 0.5387 - val_acc: 0.7667\n",
      "Epoch 7/25\n",
      "19/19 [==============================] - 137s 7s/step - loss: 0.6375 - acc: 0.7105 - val_loss: 0.5670 - val_acc: 0.7000\n",
      "Epoch 8/25\n",
      "19/19 [==============================] - 135s 7s/step - loss: 0.5224 - acc: 0.7816 - val_loss: 0.5438 - val_acc: 0.7167\n",
      "Epoch 9/25\n",
      "19/19 [==============================] - 136s 7s/step - loss: 0.6528 - acc: 0.7183 - val_loss: 0.5846 - val_acc: 0.7333\n",
      "Epoch 10/25\n",
      "19/19 [==============================] - 136s 7s/step - loss: 0.6169 - acc: 0.7842 - val_loss: 0.6333 - val_acc: 0.7000\n",
      "Epoch 11/25\n",
      "19/19 [==============================] - 137s 7s/step - loss: 0.5305 - acc: 0.7702 - val_loss: 0.5003 - val_acc: 0.7500\n",
      "Epoch 12/25\n",
      "19/19 [==============================] - 142s 7s/step - loss: 0.5762 - acc: 0.7394 - val_loss: 0.4795 - val_acc: 0.7833\n",
      "Epoch 13/25\n",
      "19/19 [==============================] - 136s 7s/step - loss: 0.5102 - acc: 0.7895 - val_loss: 0.4800 - val_acc: 0.7833\n",
      "Epoch 14/25\n",
      "19/19 [==============================] - 137s 7s/step - loss: 0.5296 - acc: 0.7570 - val_loss: 0.4554 - val_acc: 0.7833\n",
      "Epoch 15/25\n",
      "19/19 [==============================] - 136s 7s/step - loss: 0.5536 - acc: 0.7614 - val_loss: 0.4686 - val_acc: 0.7667\n",
      "Epoch 16/25\n",
      "19/19 [==============================] - 135s 7s/step - loss: 0.4809 - acc: 0.7746 - val_loss: 0.8834 - val_acc: 0.5667\n",
      "Epoch 17/25\n",
      "19/19 [==============================] - 134s 7s/step - loss: 0.5960 - acc: 0.8009 - val_loss: 0.4819 - val_acc: 0.7500\n",
      "Epoch 18/25\n",
      "19/19 [==============================] - 135s 7s/step - loss: 0.4416 - acc: 0.7869 - val_loss: 0.4437 - val_acc: 0.7833\n",
      "Epoch 19/25\n",
      "19/19 [==============================] - 136s 7s/step - loss: 0.4334 - acc: 0.8009 - val_loss: 0.6589 - val_acc: 0.7167\n",
      "Epoch 20/25\n",
      "19/19 [==============================] - 137s 7s/step - loss: 0.3746 - acc: 0.8193 - val_loss: 0.4065 - val_acc: 0.8000\n",
      "Epoch 21/25\n",
      "19/19 [==============================] - 133s 7s/step - loss: 0.4620 - acc: 0.8193 - val_loss: 0.4446 - val_acc: 0.8000\n",
      "Epoch 22/25\n",
      "19/19 [==============================] - 138s 7s/step - loss: 0.5537 - acc: 0.8333 - val_loss: 0.4214 - val_acc: 0.8167\n",
      "Epoch 23/25\n",
      "19/19 [==============================] - 136s 7s/step - loss: 0.4761 - acc: 0.7929 - val_loss: 0.4142 - val_acc: 0.8333\n",
      "Epoch 24/25\n",
      "19/19 [==============================] - 136s 7s/step - loss: 0.4684 - acc: 0.8184 - val_loss: 0.4335 - val_acc: 0.8167\n",
      "Epoch 25/25\n",
      "19/19 [==============================] - 135s 7s/step - loss: 0.4491 - acc: 0.8280 - val_loss: 0.4360 - val_acc: 0.8000\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.History at 0x7f81b00b0c18>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from keras.preprocessing.image import ImageDataGenerator\n",
    "from keras.models import Sequential\n",
    "from keras.layers import Conv2D, MaxPooling2D\n",
    "from keras.layers import Activation, Dropout, Flatten, Dense\n",
    "from keras import backend as K\n",
    "\n",
    "\n",
    "# dimensions of our images.\n",
    "img_width, img_height = 512, 512\n",
    "\n",
    "train_data_dir = 'Train'\n",
    "validation_data_dir = 'Validation'\n",
    "nb_train_samples = 238\n",
    "nb_validation_samples = 60\n",
    "epochs = 25\n",
    "batch_size =12\n",
    "\n",
    "\n",
    "if K.image_data_format() == 'channels_first':\n",
    "    input_shape = (3, img_width, img_height)\n",
    "else:\n",
    "    input_shape = (img_width, img_height, 3)\n",
    "\n",
    "model = Sequential()\n",
    "model.add(Conv2D(16, (3, 3), input_shape=input_shape))\n",
    "model.add(Activation('relu'))\n",
    "model.add(MaxPooling2D(pool_size=(3, 3)))\n",
    "\n",
    "model = Sequential()\n",
    "model.add(Conv2D(32, (3, 3), input_shape=input_shape))\n",
    "model.add(Activation('relu'))\n",
    "model.add(MaxPooling2D(pool_size=(3, 3)))\n",
    "\n",
    "model = Sequential()\n",
    "model.add(Conv2D(32, (3, 3), input_shape=input_shape))\n",
    "model.add(Activation('relu'))\n",
    "model.add(MaxPooling2D(pool_size=(3, 3)))\n",
    "\n",
    "model = Sequential()\n",
    "model.add(Conv2D(64, (3, 3), input_shape=input_shape))\n",
    "model.add(Activation('relu'))\n",
    "model.add(MaxPooling2D(pool_size=(3, 3)))\n",
    "\n",
    "model = Sequential()\n",
    "model.add(Conv2D(64, (3, 3), input_shape=input_shape))\n",
    "model.add(Activation('relu'))\n",
    "model.add(MaxPooling2D(pool_size=(3, 3)))\n",
    "\n",
    "model.add(Conv2D(128, (3, 3),input_shape=input_shape))\n",
    "model.add(Activation('relu'))\n",
    "model.add(MaxPooling2D(pool_size=(3, 3)))\n",
    "\n",
    "model.add(Conv2D(128, (3, 3),input_shape=input_shape))\n",
    "model.add(Activation('relu'))\n",
    "model.add(MaxPooling2D(pool_size=(3, 3)))\n",
    "\n",
    "model.add(Conv2D(256, (3, 3),input_shape=input_shape))\n",
    "model.add(Activation('relu'))\n",
    "model.add(MaxPooling2D(pool_size=(3, 3)))\n",
    "\n",
    "\n",
    "\n",
    "model.add(Flatten())\n",
    "model.add(Dense(32))\n",
    "model.add(Activation('relu'))\n",
    "model.add(Dropout(0.5))\n",
    "model.add(Dense(1))\n",
    "model.add(Activation('sigmoid'))\n",
    "\n",
    "model.compile(loss='binary_crossentropy',\n",
    "              optimizer='rmsprop',\n",
    "              metrics=['accuracy'])\n",
    "\n",
    "# this is the augmentation configuration we will use for training\n",
    "train_datagen = ImageDataGenerator(\n",
    "    rescale=1. / 255,\n",
    "    shear_range=0.2,\n",
    "    zoom_range=0.2,\n",
    "    horizontal_flip=True)\n",
    "\n",
    "# this is the augmentation configuration we will use for testing:\n",
    "# only rescaling\n",
    "test_datagen = ImageDataGenerator(rescale=1. / 255)\n",
    "\n",
    "train_generator = train_datagen.flow_from_directory(\n",
    "    train_data_dir,\n",
    "    target_size=(img_width, img_height),\n",
    "    batch_size=batch_size,\n",
    "    class_mode='binary')\n",
    "\n",
    "validation_generator = test_datagen.flow_from_directory(\n",
    "    validation_data_dir,\n",
    "    target_size=(img_width, img_height),\n",
    "    batch_size=batch_size,\n",
    "    class_mode='binary')\n",
    "\n",
    "model.fit_generator(\n",
    "    train_generator,\n",
    "    steps_per_epoch=nb_train_samples // batch_size,\n",
    "    epochs=epochs,\n",
    "    validation_data=validation_generator,\n",
    "    validation_steps=nb_validation_samples // batch_size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "           0.00335424, -0.0338891 ],\n",
      "         [-0.09415192, -0.030359  ,  0.01522769, ..., -0.00039396,\n",
      "          -0.0404881 ,  0.03968968]],\n",
      "\n",
      "        [[ 0.07701853, -0.06613737, -0.01395428, ..., -0.09616357,\n",
      "          -0.04365302,  0.04858425],\n",
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      "\n",
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      "           0.001905  ,  0.04876975]]],\n",
      "\n",
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      "\n",
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      "          -0.07386759, -0.08522014],\n",
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      "\n",
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      "\n",
      "\n",
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      "           0.050359  , -0.08678465],\n",
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      "           0.0167417 , -0.00662089],\n",
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      "\n",
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      "          -0.04319081,  0.05638921],\n",
      "         [-0.01219225, -0.02103798, -0.09446192, ...,  0.07485513,\n",
      "          -0.06458983, -0.04649599],\n",
      "         [ 0.07256119, -0.069087  ,  0.09839316, ...,  0.04012681,\n",
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      "       -0.00761512, -0.01552866,  0.        ,  0.00931299, -0.00637379,\n",
      "        0.        , -0.00757344, -0.0140507 , -0.00284995, -0.0135606 ,\n",
      "       -0.00284031, -0.01791271, -0.00829207, -0.02412116,  0.00079952,\n",
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      "[]\n",
      "[]\n",
      "[array([[[[-5.19556999e-02,  3.07105966e-02,  1.67313553e-02, ...,\n",
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      "\n",
      "        [[ 3.19878571e-02, -5.61229251e-02,  5.05316667e-02, ...,\n",
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      "\n",
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      "\n",
      "        [[ 1.54946707e-02, -2.47217529e-02, -1.89205930e-02, ...,\n",
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      "         [ 4.42874804e-03,  4.66692932e-02, -2.28420757e-02, ...,\n",
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      "         ...,\n",
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      "\n",
      "        [[-3.69862765e-02,  4.46292870e-02, -4.34351787e-02, ...,\n",
      "           8.60134140e-03,  1.02689229e-02,  4.39099930e-02],\n",
      "         [ 1.23870261e-02,  4.54266034e-02, -2.09544450e-02, ...,\n",
      "          -5.65058850e-02, -2.11245492e-02,  2.01307945e-02],\n",
      "         [ 3.18321399e-02,  7.49301957e-03,  6.93494827e-02, ...,\n",
      "          -5.86855039e-02,  1.78389177e-02, -5.54794539e-03],\n",
      "         ...,\n",
      "         [-5.58208711e-02, -3.21409963e-02,  3.00721023e-02, ...,\n",
      "          -5.52876554e-02,  5.91808893e-02,  4.07221913e-02],\n",
      "         [-3.14386822e-02, -5.12567200e-02, -1.13940202e-02, ...,\n",
      "           1.76944993e-02, -9.22788307e-03,  5.61157502e-02],\n",
      "         [ 6.57871291e-02,  3.28854881e-02,  2.86137126e-02, ...,\n",
      "          -4.36308235e-02, -1.98565554e-02, -5.21215536e-02]]],\n",
      "\n",
      "\n",
      "       [[[-4.53381389e-02, -3.46860141e-02,  2.15815753e-03, ...,\n",
      "          -2.95988042e-02, -2.89880540e-02,  6.40918687e-03],\n",
      "         [-7.59471208e-04,  3.83939929e-02,  2.61205770e-02, ...,\n",
      "          -2.68257372e-02, -2.33936086e-02, -1.86387822e-02],\n",
      "         [ 6.52050003e-02, -6.72644675e-02,  5.16836718e-02, ...,\n",
      "           2.69042272e-02,  8.97643194e-02,  9.11330152e-03],\n",
      "         ...,\n",
      "         [-2.94415709e-02,  5.23413494e-02,  6.16216846e-03, ...,\n",
      "           2.79219588e-03, -4.23484817e-02, -6.47951849e-03],\n",
      "         [ 1.58034079e-02,  4.83739637e-02, -1.50527470e-02, ...,\n",
      "           7.08014891e-03, -1.93922296e-02, -3.37210894e-02],\n",
      "         [-6.15550019e-03, -2.55460180e-02, -2.78106909e-02, ...,\n",
      "           1.70109011e-02, -3.67139280e-02,  3.29560563e-02]],\n",
      "\n",
      "        [[ 4.60798629e-02,  1.70200951e-02,  3.36170830e-02, ...,\n",
      "          -1.18608102e-02,  9.19165090e-03,  2.21531875e-02],\n",
      "         [-3.52637470e-02,  6.32495061e-03, -5.68053126e-02, ...,\n",
      "          -1.15840882e-02, -5.83815202e-02, -3.59893069e-02],\n",
      "         [ 1.24774911e-02,  4.74970276e-03,  5.59559725e-02, ...,\n",
      "           1.23715391e-02, -2.43767854e-02, -3.38707715e-02],\n",
      "         ...,\n",
      "         [-9.80223902e-03,  3.20086144e-02,  2.33903676e-02, ...,\n",
      "           3.71329412e-02,  2.25246884e-02, -3.49235684e-02],\n",
      "         [ 2.91816778e-02,  2.52120607e-02, -5.67721687e-02, ...,\n",
      "          -3.19984481e-02,  3.52331363e-02,  3.19584124e-02],\n",
      "         [ 3.45136598e-02, -1.04758674e-02, -1.87205486e-02, ...,\n",
      "           3.42482515e-02,  7.99364820e-02, -3.14130797e-04]],\n",
      "\n",
      "        [[-2.60160714e-02,  2.39761658e-02,  2.92616002e-02, ...,\n",
      "          -1.07168481e-02, -1.93945318e-02, -1.43582933e-02],\n",
      "         [-3.64694968e-02, -1.69604942e-02, -5.64158745e-02, ...,\n",
      "          -2.20396258e-02, -3.03666499e-02, -4.46292125e-02],\n",
      "         [ 8.75554606e-02,  6.06115023e-03,  2.80717760e-02, ...,\n",
      "           3.18463184e-02,  7.56735653e-02,  3.38765457e-02],\n",
      "         ...,\n",
      "         [ 2.66714003e-02,  1.35447802e-02, -2.41131838e-02, ...,\n",
      "           2.71522682e-02,  2.73064394e-02,  3.19903009e-02],\n",
      "         [ 5.55460490e-02, -1.59528628e-02, -9.31819156e-03, ...,\n",
      "          -4.94679250e-02,  4.35430184e-03, -2.56759711e-02],\n",
      "         [ 4.62851636e-02,  2.75311600e-02, -1.29420841e-02, ...,\n",
      "          -3.47324871e-02, -1.31362239e-02, -4.48613539e-02]]]],\n",
      "      dtype=float32), array([ 0.01211228,  0.01724139, -0.00566963, -0.00629057, -0.00508574,\n",
      "       -0.00137874, -0.00234604, -0.00773117,  0.01979831, -0.01778009,\n",
      "       -0.01094123, -0.00724385, -0.00432841, -0.01854889, -0.00083877,\n",
      "       -0.00604337, -0.0035189 , -0.00788083,  0.01441524, -0.00680588,\n",
      "       -0.00676345, -0.01555295, -0.01350096,  0.00434907, -0.00811763,\n",
      "       -0.01096741,  0.00289062, -0.00841768, -0.00990891, -0.00526938,\n",
      "       -0.00657865, -0.00781907, -0.00652319, -0.00634225, -0.00478422,\n",
      "       -0.00614577, -0.01271288, -0.00858901, -0.01326719, -0.00315926,\n",
      "        0.00267219, -0.00461604, -0.00918212, -0.00787612, -0.00902598,\n",
      "       -0.00801589,  0.01647052, -0.00848036, -0.01150624,  0.01173008,\n",
      "       -0.0096994 , -0.0028854 , -0.01176491, -0.01281427, -0.00476098,\n",
      "       -0.00731626, -0.01140978, -0.00962227, -0.01229575, -0.00769827,\n",
      "       -0.00598398, -0.00340793, -0.01119888, -0.00776552, -0.01462105,\n",
      "       -0.00443668, -0.00198123,  0.00584871, -0.00648792, -0.00092584,\n",
      "       -0.00785681, -0.01172218, -0.00389905, -0.00362006,  0.00195274,\n",
      "        0.00320961, -0.00190828,  0.00398798, -0.01333672, -0.00928211,\n",
      "        0.00033777, -0.01223656, -0.00184124, -0.0102065 ,  0.01512785,\n",
      "       -0.00102957, -0.0062596 , -0.0126614 , -0.01317887, -0.00819894,\n",
      "       -0.0117779 , -0.00345296, -0.01234662, -0.00567692, -0.01052345,\n",
      "       -0.00671697, -0.00041264, -0.01190961, -0.01241232, -0.0031901 ,\n",
      "       -0.0132594 , -0.01338714, -0.01450352, -0.01119004, -0.00330412,\n",
      "       -0.0222082 , -0.00222872, -0.00363931,  0.00124393, -0.00039603,\n",
      "       -0.01116614, -0.00924199, -0.0073636 , -0.00043127,  0.00329487,\n",
      "       -0.00396482, -0.00522821, -0.01366252, -0.01044687, -0.01055718,\n",
      "       -0.00418716, -0.00829936, -0.00436165, -0.01381021,  0.0172351 ,\n",
      "       -0.00884674,  0.00497869, -0.01273164], dtype=float32)]\n",
      "[]\n",
      "[]\n",
      "[array([[[[-0.08860506, -0.03292311, -0.06053902, ...,  0.03147029,\n",
      "          -0.04126803,  0.05112199],\n",
      "         [ 0.05334037, -0.01840917, -0.03657122, ...,  0.06427281,\n",
      "          -0.00439282,  0.02608459],\n",
      "         [ 0.02200289,  0.01718884,  0.0190007 , ...,  0.00721559,\n",
      "          -0.01236283,  0.05613485],\n",
      "         ...,\n",
      "         [ 0.00974051,  0.02004511, -0.03610983, ...,  0.03689709,\n",
      "           0.00931548, -0.01769368],\n",
      "         [-0.0212713 , -0.00532829, -0.00719527, ..., -0.01171657,\n",
      "          -0.03489678,  0.00239419],\n",
      "         [-0.03252745,  0.01497174, -0.01783207, ...,  0.04658398,\n",
      "           0.00869809,  0.03914545]],\n",
      "\n",
      "        [[-0.01257717,  0.03130681,  0.03409597, ...,  0.03293664,\n",
      "          -0.00468218,  0.00978281],\n",
      "         [-0.03755703,  0.00076595, -0.00394239, ..., -0.00678002,\n",
      "           0.04401688,  0.04474932],\n",
      "         [ 0.04051179, -0.00090588,  0.03235349, ...,  0.02618204,\n",
      "           0.01255852,  0.05519702],\n",
      "         ...,\n",
      "         [ 0.00401026,  0.049798  , -0.04973928, ...,  0.02799825,\n",
      "           0.04292037,  0.0465242 ],\n",
      "         [ 0.04152419,  0.00499733, -0.0315828 , ...,  0.0077772 ,\n",
      "           0.02977617, -0.00017354],\n",
      "         [ 0.05955869,  0.0365532 , -0.02753748, ...,  0.04516108,\n",
      "          -0.03552554,  0.01596219]],\n",
      "\n",
      "        [[-0.07350488,  0.04777691,  0.01521578, ..., -0.03296655,\n",
      "          -0.03699742,  0.05155201],\n",
      "         [ 0.01992827, -0.01638724, -0.00650727, ...,  0.036164  ,\n",
      "           0.01579526, -0.03483495],\n",
      "         [-0.03082631,  0.01583139, -0.0045831 , ..., -0.02696244,\n",
      "           0.00962385, -0.00578796],\n",
      "         ...,\n",
      "         [-0.03639586,  0.0051586 , -0.033853  , ..., -0.00196076,\n",
      "           0.02716172, -0.01878672],\n",
      "         [ 0.00163028, -0.08950353, -0.04202994, ...,  0.07545776,\n",
      "          -0.01622389,  0.07209062],\n",
      "         [ 0.05155916, -0.05585954, -0.01858112, ..., -0.04897333,\n",
      "           0.00126669, -0.02164922]]],\n",
      "\n",
      "\n",
      "       [[[-0.01950271, -0.00015464,  0.00405061, ...,  0.00730225,\n",
      "           0.04524672,  0.03869891],\n",
      "         [ 0.01453216,  0.01458333, -0.00159593, ..., -0.00220779,\n",
      "           0.00894347, -0.02327776],\n",
      "         [-0.03170052,  0.02624139,  0.03449327, ...,  0.06539797,\n",
      "           0.04839516, -0.01332451],\n",
      "         ...,\n",
      "         [-0.02433514, -0.01085135, -0.05195482, ..., -0.03389807,\n",
      "          -0.04937102, -0.00619313],\n",
      "         [-0.00921928, -0.04856102, -0.03949379, ..., -0.01452759,\n",
      "          -0.02777223, -0.00445377],\n",
      "         [ 0.04635384, -0.06155336, -0.05082303, ...,  0.02182031,\n",
      "          -0.00434193,  0.03139371]],\n",
      "\n",
      "        [[-0.02084573,  0.00817567,  0.00365651, ..., -0.00126473,\n",
      "           0.04598507, -0.00987052],\n",
      "         [ 0.00298704, -0.05286731, -0.00812318, ..., -0.04140978,\n",
      "          -0.04456199,  0.01948647],\n",
      "         [-0.0099675 , -0.05289483, -0.02714293, ...,  0.06774464,\n",
      "           0.01314991, -0.03464564],\n",
      "         ...,\n",
      "         [ 0.05161605,  0.04122045, -0.04596204, ..., -0.01263174,\n",
      "          -0.0241112 , -0.00541682],\n",
      "         [-0.0018819 ,  0.00843925, -0.0059903 , ...,  0.02048556,\n",
      "           0.03649713,  0.00049464],\n",
      "         [ 0.02136399, -0.01418992, -0.00832394, ...,  0.05285221,\n",
      "          -0.0301452 ,  0.04332548]],\n",
      "\n",
      "        [[-0.04935135,  0.03118825, -0.00668727, ...,  0.02715585,\n",
      "          -0.0542843 ,  0.03053837],\n",
      "         [-0.01610383,  0.00136774,  0.00514309, ..., -0.02467504,\n",
      "          -0.00308037, -0.01617712],\n",
      "         [ 0.01610986, -0.03821635,  0.00409569, ..., -0.00631396,\n",
      "          -0.03306671, -0.017937  ],\n",
      "         ...,\n",
      "         [-0.04783576,  0.03007461, -0.03142381, ...,  0.01370556,\n",
      "           0.01798101, -0.01846531],\n",
      "         [-0.01737169, -0.00549798,  0.01335573, ...,  0.01606667,\n",
      "           0.01166739,  0.03619915],\n",
      "         [-0.02836737,  0.0213785 , -0.04484173, ..., -0.04823486,\n",
      "          -0.03055707,  0.04447218]]],\n",
      "\n",
      "\n",
      "       [[[-0.06553902, -0.05502512, -0.05228688, ...,  0.05405449,\n",
      "           0.00024863, -0.01580279],\n",
      "         [ 0.0604486 ,  0.08071025,  0.00058635, ...,  0.03522495,\n",
      "           0.02675037,  0.04106217],\n",
      "         [ 0.02242082,  0.04057027,  0.05223563, ...,  0.04841606,\n",
      "           0.04301151,  0.00477578],\n",
      "         ...,\n",
      "         [-0.03327357, -0.00530812, -0.05056175, ..., -0.01571776,\n",
      "           0.00994635, -0.02966414],\n",
      "         [ 0.00796545, -0.03590297, -0.02466363, ..., -0.01368881,\n",
      "           0.02273109, -0.00402528],\n",
      "         [ 0.01639888, -0.04881884,  0.04677201, ...,  0.01141623,\n",
      "           0.01709589, -0.04720902]],\n",
      "\n",
      "        [[-0.02914142, -0.05126087, -0.01134877, ..., -0.01285501,\n",
      "          -0.01555754, -0.01477327],\n",
      "         [ 0.04231254,  0.02388711, -0.03755045, ..., -0.00443504,\n",
      "          -0.01312689,  0.00646267],\n",
      "         [-0.04633764,  0.02461234,  0.02849184, ...,  0.03684586,\n",
      "          -0.01278989, -0.02263653],\n",
      "         ...,\n",
      "         [-0.00703572,  0.01834424,  0.02983662, ...,  0.04254198,\n",
      "           0.04623678, -0.0263706 ],\n",
      "         [-0.02495053, -0.03292517,  0.00426279, ...,  0.01654876,\n",
      "           0.00667421, -0.04501668],\n",
      "         [ 0.02523553,  0.03233515, -0.01453412, ...,  0.04767685,\n",
      "           0.01878155,  0.02570972]],\n",
      "\n",
      "        [[ 0.00600992,  0.00933728,  0.03542396, ..., -0.02239284,\n",
      "          -0.05953834,  0.04461311],\n",
      "         [ 0.03036493,  0.06019478, -0.01843476, ..., -0.04173572,\n",
      "           0.04366215, -0.0079101 ],\n",
      "         [-0.01160651,  0.0033916 ,  0.0469801 , ..., -0.00498949,\n",
      "           0.01887939,  0.05169806],\n",
      "         ...,\n",
      "         [-0.03755893, -0.00623917, -0.04001242, ..., -0.01809441,\n",
      "          -0.00682489,  0.03984296],\n",
      "         [ 0.00451658,  0.02947471,  0.02916046, ...,  0.04831232,\n",
      "           0.03203452,  0.06425451],\n",
      "         [-0.03933578,  0.01027492, -0.00111551, ...,  0.0329367 ,\n",
      "           0.04321807, -0.03770062]]]], dtype=float32), array([ 0.02162923, -0.01262147, -0.00858041,  0.01136224,  0.00573023,\n",
      "        0.00965131, -0.01344124,  0.01274935,  0.01828302,  0.00015529,\n",
      "        0.00365778,  0.00429159,  0.02604845,  0.00405333, -0.00837023,\n",
      "       -0.01387445,  0.03385067,  0.00288715,  0.00049428, -0.01535332,\n",
      "        0.01691488, -0.01715103,  0.03082795, -0.0041965 ,  0.03042695,\n",
      "        0.00260391, -0.00121981,  0.03003576, -0.00710144, -0.0057587 ,\n",
      "        0.02125347, -0.00027846,  0.02360587, -0.00421947, -0.00152827,\n",
      "        0.00672668, -0.01119769,  0.02185513,  0.01318047,  0.00396327,\n",
      "       -0.0066761 ,  0.0008409 , -0.00522761, -0.00663784,  0.03175601,\n",
      "        0.029194  , -0.00122439,  0.02473806, -0.00875498, -0.01173291,\n",
      "       -0.00195996, -0.01685826,  0.01977464, -0.00636342, -0.01093816,\n",
      "        0.00454935, -0.00976295, -0.0123551 , -0.00426875, -0.01444691,\n",
      "        0.02281336, -0.00465152,  0.01768363, -0.00440083,  0.00285532,\n",
      "        0.01475206, -0.00286902,  0.02297744,  0.03352012,  0.03022138,\n",
      "        0.00108423, -0.00466713, -0.00954483, -0.0010365 , -0.01024517,\n",
      "        0.00576875,  0.02436301,  0.00748588, -0.00839334, -0.00202081,\n",
      "        0.01643474, -0.00707029, -0.00080069, -0.00552023, -0.00947665,\n",
      "       -0.00366557, -0.00702039,  0.0021482 , -0.01509561,  0.00063671,\n",
      "        0.00413859, -0.01193505, -0.0025442 , -0.0104661 , -0.00563104,\n",
      "       -0.0055075 ,  0.0061655 , -0.00601438,  0.03151342, -0.00585813,\n",
      "       -0.00323869,  0.03230257, -0.00617723,  0.0061043 , -0.0137527 ,\n",
      "       -0.01601763, -0.00393955,  0.01043009, -0.00393286, -0.00493837,\n",
      "       -0.00050385, -0.00688555,  0.00108099, -0.00360549, -0.00093567,\n",
      "       -0.00683987,  0.00711911, -0.0054379 ,  0.00881406,  0.02224364,\n",
      "        0.00767667, -0.0012568 ,  0.00789936,  0.00299094, -0.00881951,\n",
      "        0.00462116, -0.00641563,  0.00177586], dtype=float32)]\n",
      "[]\n",
      "[]\n",
      "[array([[[[ 2.78743245e-02, -1.44454325e-03,  2.66432501e-02, ...,\n",
      "           3.64181697e-02,  3.20256203e-02, -5.75408861e-02],\n",
      "         [ 4.47136117e-03, -2.33867466e-02,  2.44897846e-02, ...,\n",
      "           1.15185697e-02,  3.75994220e-02, -6.45294029e-04],\n",
      "         [-1.33241713e-02,  1.40597224e-02, -2.64636008e-04, ...,\n",
      "           1.09348595e-02, -1.08823292e-02,  2.32483987e-02],\n",
      "         ...,\n",
      "         [ 1.30872093e-02,  3.37890387e-02,  4.41058259e-03, ...,\n",
      "           4.58017783e-03,  2.50151660e-03,  1.10590749e-03],\n",
      "         [ 2.87369061e-02, -4.03382145e-02, -3.83069515e-02, ...,\n",
      "           3.81423905e-02,  1.00368625e-02,  6.15141448e-03],\n",
      "         [ 1.25299003e-02,  9.66005586e-03, -1.60673785e-03, ...,\n",
      "           1.90858208e-02,  2.41466295e-02, -3.80134061e-02]],\n",
      "\n",
      "        [[-8.77333432e-03,  3.47458608e-02, -7.27989711e-03, ...,\n",
      "           1.47809293e-02, -1.14436792e-02,  7.62951141e-03],\n",
      "         [ 1.62619147e-02, -1.25310943e-03, -4.88861315e-02, ...,\n",
      "          -3.87233011e-02,  3.21687981e-02, -4.09837738e-02],\n",
      "         [ 5.71849942e-03, -1.58185866e-02,  2.48397868e-02, ...,\n",
      "           1.65182836e-02, -1.88909285e-02,  1.52693167e-02],\n",
      "         ...,\n",
      "         [ 2.58290265e-02, -3.37510705e-02,  2.84671001e-02, ...,\n",
      "          -3.69417891e-02, -2.54271347e-02, -1.43579775e-02],\n",
      "         [ 3.81589681e-02, -4.45756968e-03, -7.35289766e-04, ...,\n",
      "          -1.47268772e-02,  5.63110970e-03, -2.68536452e-02],\n",
      "         [-3.67110362e-03, -2.35170731e-03, -3.30287367e-02, ...,\n",
      "           1.23848645e-02,  8.26325547e-03, -5.48422989e-03]],\n",
      "\n",
      "        [[ 3.03479694e-02,  1.54829258e-02, -2.67458824e-03, ...,\n",
      "          -3.32011841e-02, -6.56014914e-03, -3.59520614e-02],\n",
      "         [-3.41720805e-02, -1.22963469e-02,  2.08968204e-02, ...,\n",
      "           2.59254407e-02, -3.59607041e-02,  3.41776609e-02],\n",
      "         [ 2.01696940e-02, -3.68991010e-02, -1.48892123e-02, ...,\n",
      "          -2.67897956e-02, -6.15301728e-03,  3.72448638e-02],\n",
      "         ...,\n",
      "         [ 1.29811661e-02, -1.31817395e-02, -3.04335402e-03, ...,\n",
      "          -4.27062996e-02, -1.54252620e-02, -2.66714841e-02],\n",
      "         [-2.28328016e-02,  2.79633738e-02,  9.91356280e-03, ...,\n",
      "           3.64822894e-02,  2.64496058e-02, -4.11894694e-02],\n",
      "         [-6.28495589e-03,  2.32364424e-02,  1.00382324e-02, ...,\n",
      "           2.40086634e-02,  1.11058718e-02, -2.71948036e-02]]],\n",
      "\n",
      "\n",
      "       [[[-2.13686638e-02,  3.75442915e-02, -2.31261514e-02, ...,\n",
      "           1.42134679e-03, -1.52684711e-02, -5.04324138e-02],\n",
      "         [ 3.51861794e-03,  2.66338345e-02,  2.92497072e-02, ...,\n",
      "          -9.99729033e-04,  1.69923645e-04,  8.62634648e-03],\n",
      "         [ 2.39546336e-02, -4.42148373e-03,  1.37496544e-02, ...,\n",
      "           3.73505056e-02, -2.18235962e-02, -1.33023625e-02],\n",
      "         ...,\n",
      "         [-2.72424612e-02,  2.62863468e-02, -1.61695872e-02, ...,\n",
      "           2.95877308e-02,  1.69044845e-02, -3.63614857e-02],\n",
      "         [-9.98468790e-03,  1.01729948e-02, -1.53393997e-03, ...,\n",
      "           3.60774696e-02, -9.49418452e-03,  2.20954567e-02],\n",
      "         [-1.59607921e-02, -3.86654846e-02, -1.85074303e-02, ...,\n",
      "           1.37433531e-02, -2.32601222e-02,  2.04329528e-02]],\n",
      "\n",
      "        [[-3.03888079e-02,  1.47792725e-02,  1.17899589e-02, ...,\n",
      "           9.43290722e-03,  2.75880285e-02,  4.25838446e-03],\n",
      "         [-3.33485752e-02, -4.60346602e-02, -4.98310961e-02, ...,\n",
      "          -3.33985761e-02, -3.79300400e-05,  1.45599525e-02],\n",
      "         [ 8.04939866e-03, -5.99133968e-03,  1.28904572e-02, ...,\n",
      "           2.30568089e-02,  1.03855133e-02, -4.63845907e-03],\n",
      "         ...,\n",
      "         [ 1.06519554e-02, -2.63469554e-02,  5.32040931e-03, ...,\n",
      "           2.29805913e-02,  3.41894627e-02, -4.90880990e-03],\n",
      "         [-2.62123849e-02,  2.22752038e-02,  3.49971578e-02, ...,\n",
      "           5.43034915e-03, -5.57941198e-03, -1.96475536e-03],\n",
      "         [ 2.50511384e-03, -1.86809711e-02,  3.27448994e-02, ...,\n",
      "           2.48738173e-02,  1.61267340e-03, -3.84943938e-04]],\n",
      "\n",
      "        [[ 3.74882407e-02, -1.10035855e-02,  6.57970831e-03, ...,\n",
      "           1.28243137e-02,  3.63260345e-03, -6.25482388e-03],\n",
      "         [ 2.30337959e-02,  1.19532347e-02,  1.88415013e-02, ...,\n",
      "          -4.27798135e-03,  1.58960298e-02,  6.12365082e-03],\n",
      "         [ 4.02201451e-02,  2.07247548e-02,  6.92229252e-03, ...,\n",
      "           6.05309010e-03, -9.69054177e-03,  1.11719370e-02],\n",
      "         ...,\n",
      "         [-1.40085239e-02,  3.49409785e-03,  1.04861204e-02, ...,\n",
      "          -3.73683274e-02,  2.81786844e-02, -3.29753608e-02],\n",
      "         [-1.77157726e-02, -2.22084001e-02, -1.83553696e-02, ...,\n",
      "          -2.07959246e-02, -1.50236366e-02,  2.89744511e-02],\n",
      "         [-1.17883971e-02, -4.09862436e-02,  1.22740623e-02, ...,\n",
      "          -2.82069314e-02, -4.11870852e-02,  1.74231771e-02]]],\n",
      "\n",
      "\n",
      "       [[[-3.27232592e-02, -1.68842971e-02,  2.35426077e-03, ...,\n",
      "          -4.31305319e-02,  6.63114898e-03, -7.49481693e-02],\n",
      "         [-3.19447368e-02,  2.61223055e-02,  1.27626862e-02, ...,\n",
      "           4.10372093e-02,  1.48822963e-02,  1.50763122e-02],\n",
      "         [ 1.02294572e-02, -2.02656295e-02, -2.33954377e-02, ...,\n",
      "          -1.16701634e-03,  7.25044683e-03, -1.19757783e-02],\n",
      "         ...,\n",
      "         [ 1.72353312e-02, -8.02145340e-03, -1.26100266e-02, ...,\n",
      "           3.70420814e-02, -3.33309434e-02, -6.89768000e-03],\n",
      "         [-3.42465602e-02,  3.04110367e-02, -3.25673190e-03, ...,\n",
      "          -2.54698750e-02, -3.00207138e-02,  3.09558120e-02],\n",
      "         [ 3.71463434e-03, -1.10750794e-02,  8.65872018e-03, ...,\n",
      "           2.08915528e-02,  3.20680626e-02, -3.66868377e-02]],\n",
      "\n",
      "        [[ 2.50811893e-02,  3.61310318e-02, -2.90398635e-02, ...,\n",
      "          -5.20471148e-02,  2.90525649e-02, -5.85642941e-02],\n",
      "         [ 1.06769567e-02,  2.38043461e-02, -4.76843677e-02, ...,\n",
      "           6.05570385e-04,  1.34099266e-02, -4.06784564e-02],\n",
      "         [-1.70648899e-02, -3.21012065e-02, -2.15180013e-02, ...,\n",
      "           4.16757539e-03, -4.05551419e-02, -1.71054658e-02],\n",
      "         ...,\n",
      "         [ 2.79683191e-02, -2.51174178e-02, -7.24557694e-03, ...,\n",
      "          -1.07888887e-02,  1.00579148e-03, -1.35416938e-02],\n",
      "         [ 3.25436555e-02,  2.65414640e-02,  2.46024970e-02, ...,\n",
      "           4.20613661e-02,  1.98428356e-03,  1.96672231e-02],\n",
      "         [ 7.83202890e-03, -1.00668855e-02, -2.28023715e-02, ...,\n",
      "          -2.96815205e-02,  1.11474330e-02,  1.12210643e-02]],\n",
      "\n",
      "        [[-2.43540723e-02, -6.65262435e-03,  1.38348117e-02, ...,\n",
      "          -1.06961895e-02, -3.06364950e-02,  3.18204123e-03],\n",
      "         [-2.50332430e-02,  2.58190441e-03,  1.71816675e-04, ...,\n",
      "           3.72600481e-02, -1.28217125e-02,  7.56925577e-03],\n",
      "         [-3.08292620e-02,  2.11450495e-02, -2.21086275e-02, ...,\n",
      "          -3.12347282e-02, -7.47703388e-03, -2.30730791e-02],\n",
      "         ...,\n",
      "         [-1.77164804e-02,  1.92290563e-02, -3.30697722e-03, ...,\n",
      "          -3.63961495e-02, -2.99826059e-02, -1.91129895e-03],\n",
      "         [-3.40823270e-02,  3.11021823e-02, -3.95241156e-02, ...,\n",
      "           2.35488289e-03,  3.62216262e-04,  2.50870883e-02],\n",
      "         [ 2.62289681e-02, -3.07862703e-02, -2.63046846e-02, ...,\n",
      "          -3.03727034e-02, -8.50000512e-03, -3.25136110e-02]]]],\n",
      "      dtype=float32), array([-3.83374677e-03, -8.57914519e-03, -7.26507697e-03,  6.90585887e-03,\n",
      "       -3.24195088e-03, -6.28866581e-03, -9.79661662e-03,  4.12484119e-03,\n",
      "       -8.25103372e-03,  3.62910926e-02, -2.13749707e-04, -5.81930811e-03,\n",
      "       -7.54880439e-03, -1.78696550e-02, -4.72266180e-03, -4.27870837e-04,\n",
      "       -6.30486850e-03, -5.69812767e-03, -1.11735100e-02, -1.18194870e-03,\n",
      "       -2.66871136e-03, -4.30038571e-03, -4.04778123e-03,  2.01462563e-02,\n",
      "        8.10202211e-03, -5.18356450e-03, -6.31755777e-03, -4.51762183e-03,\n",
      "       -6.01722859e-03, -8.71740468e-03, -9.44087282e-03, -3.38988355e-03,\n",
      "       -5.61139267e-03, -5.27386833e-03, -8.78957380e-03, -3.01553286e-03,\n",
      "        1.72797905e-03, -3.74480756e-03, -3.55786085e-03,  2.47502490e-03,\n",
      "       -3.71781993e-03,  2.80054510e-02, -5.35602588e-03, -2.18494236e-03,\n",
      "       -6.60551805e-03, -7.89689086e-03, -5.15592331e-03, -7.30061531e-03,\n",
      "       -2.33688042e-03, -1.50318304e-02, -3.16220452e-03,  4.69002426e-02,\n",
      "       -1.03799105e-02, -9.68723930e-03, -9.55617242e-03,  1.51027776e-02,\n",
      "       -8.18052888e-03, -6.22422528e-03, -5.29544428e-03, -3.16132023e-03,\n",
      "       -3.04436166e-04, -2.94729580e-06,  4.20795232e-02, -7.05482438e-03,\n",
      "       -5.27265947e-03,  1.92640405e-02, -8.87960568e-03, -6.23637717e-03,\n",
      "       -6.30297046e-03, -9.35399067e-03,  2.81502437e-02, -3.14646051e-03,\n",
      "       -3.90884373e-03, -6.31215936e-03,  3.90294939e-02,  2.28072628e-02,\n",
      "       -6.68149767e-03, -7.85225304e-04, -3.81325884e-03, -8.74195155e-03,\n",
      "       -4.84348508e-03,  5.55860065e-03, -9.50717926e-03, -8.17198493e-03,\n",
      "       -6.32087886e-03, -6.59446092e-03, -1.11446837e-02, -4.80809668e-03,\n",
      "       -1.15864752e-02, -2.12125853e-03,  1.41986413e-04,  7.91583210e-04,\n",
      "        2.39065103e-02, -7.92551227e-03, -2.11181864e-03, -4.97026090e-03,\n",
      "       -1.06462594e-02, -3.16053093e-03, -2.86864885e-03, -9.91135719e-04,\n",
      "       -9.28239198e-04, -1.94712437e-03, -5.36616845e-03,  3.48677486e-02,\n",
      "       -3.20498925e-03, -3.87520622e-03, -1.03197666e-02, -1.04666082e-02,\n",
      "       -9.43560805e-03, -4.51426255e-03, -7.30864797e-03, -1.08733764e-02,\n",
      "       -9.73725040e-03,  1.23562443e-03, -7.68110808e-03,  7.47115212e-03,\n",
      "        7.08262902e-03, -2.32552225e-03, -4.71381674e-04, -7.24698324e-03,\n",
      "       -7.51292240e-03, -9.69428662e-03, -9.31266882e-03, -7.52834650e-03,\n",
      "        3.28470231e-03, -7.14150956e-03, -1.09562613e-02, -6.34771399e-03,\n",
      "       -1.02886911e-02, -6.91769645e-03, -6.86197262e-03, -7.65114417e-03,\n",
      "        2.99538821e-02, -8.84578004e-03, -9.61064734e-03, -6.06260682e-03,\n",
      "       -1.09717734e-02, -9.47299786e-03, -9.54466779e-03, -1.49939850e-04,\n",
      "       -1.30531164e-02,  3.86844948e-02, -3.78908333e-03, -8.89501348e-03,\n",
      "       -1.15415929e-02, -9.24894295e-04, -7.07794959e-03, -3.81447398e-03,\n",
      "       -9.46611352e-03, -2.24150508e-03, -1.45702036e-02, -8.27424601e-03,\n",
      "       -6.65233098e-03, -5.68931457e-03, -4.11841972e-03, -3.16220801e-03,\n",
      "       -1.07138325e-02, -1.02364374e-02, -8.69740732e-03, -1.27629505e-03,\n",
      "       -5.93688991e-03, -9.23202746e-03, -3.16142268e-03,  7.13056792e-03,\n",
      "       -7.93228112e-03, -3.04656406e-03, -5.17636910e-03,  2.56069805e-02,\n",
      "       -3.21623846e-03, -5.59323234e-03, -1.32409949e-03, -1.10169556e-02,\n",
      "       -4.24605701e-03, -5.69094485e-03,  3.75230424e-02, -3.52773350e-03,\n",
      "       -6.29300717e-03, -6.03260612e-03, -5.37311845e-03, -3.28085292e-03,\n",
      "       -7.99064152e-03,  2.56505026e-03, -5.92991523e-03, -1.26139354e-03,\n",
      "       -8.29819031e-03,  6.39548292e-03, -3.51602724e-03, -1.01066064e-02,\n",
      "       -4.38178540e-04, -9.63086821e-03, -1.17582595e-02, -8.10464192e-03,\n",
      "       -4.41510044e-03, -3.16222175e-03, -1.03930514e-02,  2.70322897e-04,\n",
      "       -1.14337187e-02, -9.25751578e-04, -1.20084425e-02, -5.42432163e-03,\n",
      "       -4.02361806e-03, -1.13224629e-02, -1.28462473e-02, -7.95076136e-03,\n",
      "       -9.66498628e-03, -4.84700594e-03,  2.97309179e-02, -6.12048479e-03,\n",
      "       -6.71944302e-03, -5.25172986e-03, -6.31569559e-03,  4.16046521e-03,\n",
      "        8.77090555e-04, -5.44772623e-03, -1.20798433e-02, -3.64554580e-03,\n",
      "       -3.32331937e-03, -5.13119297e-03,  4.06289026e-02, -3.99300270e-03,\n",
      "        2.32229251e-02, -1.93282263e-03, -7.18557229e-03,  7.60633848e-04,\n",
      "       -3.16211535e-03,  1.00014880e-02,  4.44672909e-03, -5.68867940e-03,\n",
      "       -2.64373398e-03, -5.01046190e-03, -1.25322929e-02, -6.20718114e-03,\n",
      "        3.79823372e-02, -5.59656229e-03, -1.07500162e-02, -1.08068381e-02,\n",
      "       -9.70722828e-03, -6.75201369e-03, -1.60763524e-02,  3.43022086e-02,\n",
      "       -7.08363438e-03, -5.10430429e-03, -3.54735414e-03,  4.21898961e-02,\n",
      "       -9.36874002e-03, -9.64780431e-03, -2.37568794e-03, -7.82617275e-03,\n",
      "       -5.92311379e-03,  1.52820377e-02, -2.96572270e-03, -8.45110975e-03,\n",
      "       -7.07329717e-03, -3.18744569e-03, -2.32239341e-04, -7.91985262e-03],\n",
      "      dtype=float32)]\n",
      "[]\n",
      "[]\n",
      "[]\n",
      "[array([[-0.00822754, -0.02726904,  0.0047692 , ..., -0.01405678,\n",
      "        -0.00953527, -0.00981245],\n",
      "       [ 0.0302467 , -0.02485471,  0.00577395, ...,  0.01557058,\n",
      "         0.01786861, -0.00273808],\n",
      "       [-0.01501549,  0.00781281, -0.01553547, ..., -0.01395378,\n",
      "        -0.00984579,  0.00966141],\n",
      "       ...,\n",
      "       [-0.01636691,  0.01452341,  0.00860265, ...,  0.01346341,\n",
      "        -0.01718348,  0.02128042],\n",
      "       [-0.00926007,  0.0221377 , -0.02109302, ...,  0.02475033,\n",
      "        -0.01133351,  0.01243983],\n",
      "       [ 0.01105481,  0.02571766,  0.01506304, ..., -0.02362094,\n",
      "         0.01587468,  0.01154673]], dtype=float32), array([ 0.00624096, -0.00316225, -0.00303925,  0.00092297, -0.00809096,\n",
      "       -0.00919936, -0.0093488 , -0.00809606, -0.0063244 , -0.00931923,\n",
      "       -0.01030427,  0.0067739 ,  0.00736395,  0.00154237,  0.00014999,\n",
      "       -0.00415561,  0.00523074,  0.02171174, -0.00453335, -0.01346514,\n",
      "       -0.00316218,  0.00299121,  0.00919996, -0.00991556, -0.00578482,\n",
      "       -0.00059648, -0.00632191,  0.00875368, -0.00113293, -0.00583286,\n",
      "       -0.00313665,  0.00348848], dtype=float32)]\n",
      "[]\n",
      "[]\n",
      "[array([[ 0.21776089],\n",
      "       [-0.08478311],\n",
      "       [-0.31881225],\n",
      "       [-0.20678268],\n",
      "       [-0.17175932],\n",
      "       [-0.2158711 ],\n",
      "       [ 0.07709389],\n",
      "       [ 0.19508797],\n",
      "       [ 0.16468608],\n",
      "       [-0.01922486],\n",
      "       [-0.08082202],\n",
      "       [ 0.20270611],\n",
      "       [-0.04705302],\n",
      "       [-0.08506831],\n",
      "       [-0.3890981 ],\n",
      "       [ 0.3770269 ],\n",
      "       [-0.0477157 ],\n",
      "       [ 0.04386455],\n",
      "       [ 0.2759653 ],\n",
      "       [-0.4104433 ],\n",
      "       [ 0.13825656],\n",
      "       [-0.07325687],\n",
      "       [ 0.32895845],\n",
      "       [-0.17326508],\n",
      "       [-0.19103622],\n",
      "       [-0.3812901 ],\n",
      "       [-0.2852427 ],\n",
      "       [ 0.13101645],\n",
      "       [-0.33083043],\n",
      "       [-0.06150941],\n",
      "       [ 0.2137028 ],\n",
      "       [-0.29771784]], dtype=float32), array([0.09159774], dtype=float32)]\n",
      "[]\n"
     ]
    }
   ],
   "source": [
    "for layer in model.layers:\n",
    "    weights = layer.get_weights() \n",
    "    print(weights)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from __future__ import print_function\n",
    "\n",
    "import h5py\n",
    "\n",
    "def print_structure():\n",
    "    \"\"\"\n",
    "    Prints out the structure of HDF5 file.\n",
    "\n",
    "    Args:\n",
    "      weight_file_path (str) : Path to the file to analyze\n",
    "    \"\"\"\n",
    "    f = h5py.File('first.h5')\n",
    "    try:\n",
    "        if len(f.attrs.items()):\n",
    "            print(\"{} contains: \".format('first.h5'))\n",
    "            print(\"Root attributes:\")\n",
    "        for key, value in f.attrs.items():\n",
    "            print(\"  {}: {}\".format(key, value))\n",
    "\n",
    "        if len(f.items())==0:\n",
    "            return \n",
    "\n",
    "        for layer, g in f.items():\n",
    "            print(\"  {}\".format(layer))\n",
    "            print(\"    Attributes:\")\n",
    "            for key, value in g.attrs.items():\n",
    "                print(\"      {}: {}\".format(key, value))\n",
    "\n",
    "            print(\"    Dataset:\")\n",
    "            for p_name in g.keys():\n",
    "                param = g[p_name]\n",
    "                print(\"      {}: {}\".format(p_name, param.shape))\n",
    "    finally:\n",
    "        f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "conv2d_13 (Conv2D)           (None, 510, 510, 64)      1792      \n",
      "_________________________________________________________________\n",
      "activation_15 (Activation)   (None, 510, 510, 64)      0         \n",
      "_________________________________________________________________\n",
      "max_pooling2d_13 (MaxPooling (None, 170, 170, 64)      0         \n",
      "_________________________________________________________________\n",
      "conv2d_14 (Conv2D)           (None, 168, 168, 128)     73856     \n",
      "_________________________________________________________________\n",
      "activation_16 (Activation)   (None, 168, 168, 128)     0         \n",
      "_________________________________________________________________\n",
      "max_pooling2d_14 (MaxPooling (None, 56, 56, 128)       0         \n",
      "_________________________________________________________________\n",
      "conv2d_15 (Conv2D)           (None, 54, 54, 128)       147584    \n",
      "_________________________________________________________________\n",
      "activation_17 (Activation)   (None, 54, 54, 128)       0         \n",
      "_________________________________________________________________\n",
      "max_pooling2d_15 (MaxPooling (None, 18, 18, 128)       0         \n",
      "_________________________________________________________________\n",
      "conv2d_16 (Conv2D)           (None, 16, 16, 256)       295168    \n",
      "_________________________________________________________________\n",
      "activation_18 (Activation)   (None, 16, 16, 256)       0         \n",
      "_________________________________________________________________\n",
      "max_pooling2d_16 (MaxPooling (None, 5, 5, 256)         0         \n",
      "_________________________________________________________________\n",
      "flatten_2 (Flatten)          (None, 6400)              0         \n",
      "_________________________________________________________________\n",
      "dense_3 (Dense)              (None, 32)                204832    \n",
      "_________________________________________________________________\n",
      "activation_19 (Activation)   (None, 32)                0         \n",
      "_________________________________________________________________\n",
      "dropout_2 (Dropout)          (None, 32)                0         \n",
      "_________________________________________________________________\n",
      "dense_4 (Dense)              (None, 1)                 33        \n",
      "_________________________________________________________________\n",
      "activation_20 (Activation)   (None, 1)                 0         \n",
      "=================================================================\n",
      "Total params: 723,265\n",
      "Trainable params: 723,265\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "predictions=model.predict_generator(validation_generator,steps=nb_train_samples // batch_size)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy \n",
    "predicted_classes=numpy.argmax(predictions,axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1\n",
      " 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1]\n",
      "[[8.11968893e-02]\n",
      " [4.67657059e-01]\n",
      " [3.52601349e-01]\n",
      " [6.82240248e-01]\n",
      " [3.58175397e-01]\n",
      " [6.04607642e-01]\n",
      " [7.86019623e-01]\n",
      " [8.26370358e-01]\n",
      " [9.68363020e-06]\n",
      " [7.49547064e-01]\n",
      " [3.36455345e-01]\n",
      " [5.22148669e-01]\n",
      " [6.59059465e-01]\n",
      " [6.91438258e-01]\n",
      " [5.94993889e-01]\n",
      " [7.40757167e-01]\n",
      " [4.06125277e-01]\n",
      " [5.96475542e-01]\n",
      " [7.55123079e-01]\n",
      " [4.53940243e-01]\n",
      " [8.10840428e-01]\n",
      " [5.25845349e-01]\n",
      " [1.40661418e-01]\n",
      " [1.93357766e-01]\n",
      " [2.07349062e-01]\n",
      " [2.44909480e-01]\n",
      " [7.31367648e-01]\n",
      " [6.99594915e-02]\n",
      " [6.78698063e-01]\n",
      " [1.11873426e-01]\n",
      " [4.37593877e-01]\n",
      " [5.72314024e-01]\n",
      " [8.09257567e-01]\n",
      " [8.38527083e-01]\n",
      " [5.39970934e-01]\n",
      " [5.45870125e-01]\n",
      " [5.58628678e-01]\n",
      " [8.43986332e-01]\n",
      " [8.34281623e-01]\n",
      " [3.78620118e-01]\n",
      " [6.82353556e-01]\n",
      " [4.04821942e-03]\n",
      " [6.02037132e-01]\n",
      " [7.52885342e-01]\n",
      " [8.36155415e-01]\n",
      " [4.46721703e-01]\n",
      " [1.21542692e-01]\n",
      " [7.52908587e-01]\n",
      " [8.73517990e-01]\n",
      " [8.57676327e-01]\n",
      " [7.14764893e-01]\n",
      " [5.35435855e-01]\n",
      " [1.70233756e-01]\n",
      " [8.35431755e-01]\n",
      " [4.16136622e-01]\n",
      " [8.28519285e-01]\n",
      " [4.51792419e-01]\n",
      " [1.97649406e-05]\n",
      " [6.57416582e-01]\n",
      " [4.54180807e-01]\n",
      " [8.57676327e-01]\n",
      " [6.02037132e-01]\n",
      " [6.82353556e-01]\n",
      " [8.09257567e-01]\n",
      " [9.68363020e-06]\n",
      " [4.46721762e-01]\n",
      " [4.51792419e-01]\n",
      " [4.04821942e-03]\n",
      " [8.10840428e-01]\n",
      " [3.78620088e-01]\n",
      " [7.52908587e-01]\n",
      " [5.39970934e-01]\n",
      " [1.93357766e-01]\n",
      " [5.94993889e-01]\n",
      " [5.72314024e-01]\n",
      " [4.37593877e-01]\n",
      " [6.82240248e-01]\n",
      " [4.53940243e-01]\n",
      " [7.52885342e-01]\n",
      " [3.58175397e-01]\n",
      " [6.78698063e-01]\n",
      " [8.73517990e-01]\n",
      " [7.49547064e-01]\n",
      " [7.40757167e-01]\n",
      " [5.25845349e-01]\n",
      " [7.55123079e-01]\n",
      " [6.59059465e-01]\n",
      " [3.52601349e-01]\n",
      " [8.28519285e-01]\n",
      " [7.86019623e-01]\n",
      " [2.44909480e-01]\n",
      " [8.34281623e-01]\n",
      " [8.43986332e-01]\n",
      " [5.58628678e-01]\n",
      " [7.14764893e-01]\n",
      " [6.57416582e-01]\n",
      " [8.38527083e-01]\n",
      " [4.54180807e-01]\n",
      " [5.22148669e-01]\n",
      " [6.99594915e-02]\n",
      " [4.67657059e-01]\n",
      " [8.36155415e-01]\n",
      " [8.11968893e-02]\n",
      " [5.35435855e-01]\n",
      " [1.70233756e-01]\n",
      " [8.26370358e-01]\n",
      " [1.40661418e-01]\n",
      " [6.04607642e-01]\n",
      " [5.45870125e-01]\n",
      " [7.31367648e-01]\n",
      " [1.21542692e-01]\n",
      " [4.16136622e-01]\n",
      " [5.96475542e-01]\n",
      " [3.36455345e-01]\n",
      " [1.97649406e-05]\n",
      " [1.11873426e-01]\n",
      " [8.35431755e-01]\n",
      " [2.07349062e-01]\n",
      " [6.91438317e-01]\n",
      " [4.06125277e-01]\n",
      " [3.78620118e-01]\n",
      " [8.26370358e-01]\n",
      " [5.22148669e-01]\n",
      " [8.57676327e-01]\n",
      " [7.86019623e-01]\n",
      " [7.14764893e-01]\n",
      " [2.44909480e-01]\n",
      " [7.40757167e-01]\n",
      " [4.54180807e-01]\n",
      " [2.07349062e-01]\n",
      " [6.91438317e-01]\n",
      " [7.31367648e-01]\n",
      " [6.82353556e-01]\n",
      " [5.96475542e-01]\n",
      " [5.35435855e-01]\n",
      " [1.93357766e-01]\n",
      " [5.39970934e-01]\n",
      " [6.82240248e-01]\n",
      " [1.11873426e-01]\n",
      " [8.36155415e-01]\n",
      " [3.52601349e-01]\n",
      " [7.52908587e-01]\n",
      " [6.59059465e-01]\n",
      " [8.10840428e-01]\n",
      " [4.53940243e-01]\n",
      " [8.73517990e-01]\n",
      " [7.55123079e-01]\n",
      " [8.34281623e-01]\n",
      " [8.38527083e-01]\n",
      " [1.40661418e-01]\n",
      " [4.16136622e-01]\n",
      " [5.45870125e-01]\n",
      " [1.70233756e-01]\n",
      " [4.04821942e-03]\n",
      " [4.06125277e-01]\n",
      " [8.11968893e-02]\n",
      " [6.02037132e-01]\n",
      " [4.46721762e-01]\n",
      " [1.97649406e-05]\n",
      " [8.35431755e-01]\n",
      " [6.57416582e-01]\n",
      " [7.49547064e-01]\n",
      " [4.67657059e-01]\n",
      " [3.58175397e-01]\n",
      " [1.21542692e-01]\n",
      " [4.37593877e-01]\n",
      " [4.51792419e-01]\n",
      " [6.04607642e-01]\n",
      " [9.68363020e-06]\n",
      " [3.36455345e-01]\n",
      " [8.43986332e-01]\n",
      " [5.94993889e-01]\n",
      " [8.09257567e-01]\n",
      " [8.28519285e-01]\n",
      " [7.52885342e-01]\n",
      " [5.72314024e-01]\n",
      " [6.99594915e-02]\n",
      " [5.58628678e-01]\n",
      " [6.78698063e-01]\n",
      " [5.25845349e-01]\n",
      " [8.57676327e-01]\n",
      " [2.07349062e-01]\n",
      " [6.02037132e-01]\n",
      " [1.21542692e-01]\n",
      " [7.49547064e-01]\n",
      " [5.22148669e-01]\n",
      " [4.46721762e-01]\n",
      " [5.25845349e-01]\n",
      " [8.73517990e-01]\n",
      " [7.52885342e-01]\n",
      " [8.09257567e-01]\n",
      " [4.37593877e-01]\n",
      " [9.68363020e-06]\n",
      " [7.52908587e-01]\n",
      " [8.11968893e-02]\n",
      " [7.14764893e-01]\n",
      " [6.57416582e-01]\n",
      " [4.04821942e-03]\n",
      " [6.99594915e-02]\n",
      " [8.43986332e-01]\n",
      " [3.58175397e-01]\n",
      " [3.36455345e-01]\n",
      " [8.28519285e-01]\n",
      " [7.31367648e-01]\n",
      " [1.70233756e-01]\n",
      " [5.94993889e-01]\n",
      " [6.59059465e-01]\n",
      " [1.97649406e-05]\n",
      " [8.35431755e-01]\n",
      " [4.53940243e-01]\n",
      " [5.58628678e-01]\n",
      " [8.38527083e-01]\n",
      " [6.82240248e-01]\n",
      " [8.34281623e-01]\n",
      " [7.55123079e-01]\n",
      " [3.78620088e-01]\n",
      " [6.78698063e-01]\n",
      " [2.44909480e-01]\n",
      " [5.39970934e-01]\n",
      " [4.51792419e-01]\n",
      " [5.72314024e-01]\n",
      " [7.40757167e-01]\n",
      " [7.86019623e-01]\n",
      " [1.40661418e-01]\n",
      " [5.45870125e-01]\n",
      " [5.96475542e-01]\n",
      " [4.54180807e-01]\n",
      " [8.36155415e-01]]\n"
     ]
    }
   ],
   "source": [
    "true_classes=validation_generator.classes\n",
    "print(true_classes)\n",
    "class_labels=list(validation_generator.class_indices.keys())\n",
    "print(predictions)"
   ]
  }
 ],
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