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CHANGELOG.md

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TinyMLx edX (development)

Changes

  • [3-8-13], [3-8-16], [3-10-7] Install Tensorflow 2.10.0.
  • [3-5-18], [3-7-11]Install Tensorflow 2.10.0.
  • [3-4-3] Fixed the module import error for Model.py
  • [3-4-3] Fixed the path of the schema_v3.fbs file in the tensorflow/lite schema.
  • [3-4-3] Fixed the compiler flag to stop treating warnings as errors.
  • [3-3-12] Install Tensorflow-model-optimization 0.7.3
  • [3-3-7], [3-3-10], [3-3-12], [3-3-14] Install Tensorflow 2.10.0, tensorflow-hub 0.12.0, tensorflow-datasets 4.6.0
  • [3-3-4] Install Tensorflow 2.10.
  • [3-3-4] Tensorflow expects a numpy array as input for the model.predict() method.
  • [2-1-9], [2-2-5] Tensorflow expects a numpy array as input for the model.predict() method.
  • [2-3-7] model.input --> model.inputs
  • [2-4-3] lr --> learning_rate, model.input --> model.inputs
  • [2-4-6] lr --> learning_rate, model.input --> model.inputs

TinyMLx edX (unreleased)

Changes

  • [4-4-8] Fixed download link for flatbuffers
  • [4-4-8] Fixed tflite Model import

Changes

  • [3-5-13] TF v2.4.1 --> TF v2.14.0

Changes

  • [3-10-7] Static image links are replaced.
  • [4-6-8] import tensorflow as tf --> import tensorflow.compat.v1 as tf and deactivate re-installing tensorflow
  • [4-4-8] %tensorflow_version 1.x --> %tensorflow_version 2.x
  • [4-4-8] flatbuffers==1.12 --> flatbuffers==23.5.6

TinyMLx edX 0.1.2 (2023-08-15)

Changes

  • [3-8-16] lr --> learning_rate
  • [3-7-11] Fixed data link.
  • [3-5-18] Fixed tf1 -> tf2 compatibility issues (see #16)
  • [3-3-7] Fixed a typo in metadata.

TinyMLx edX 0.1.1 (2023-07-21)

Changes

  • [2-3-3]
    • from scipy import misc --> from scipy import datasets
    • misc.ascent() --> datasets.ascent()
    • DeprecationWarning: scipy.misc.ascent has been deprecated in SciPy v1.10.0; and will be completely removed in SciPy v1.12.0. Dataset methods have moved into the scipy.datasets module. Use scipy.datasets.ascent instead.
  • Fixed broken links in 2-x-x colabs.
  • In data links: laurencemoroney-blog.appspot.com --> learning-datasets
  • [2-1-6] Only supports tf 2 and python 3.
  • [2-1-4] Comments on the code maximum length is 80 characters.
  • fstring is used for string formatting.