This is an implementation of a 2 layer neural network(1 hidden layer) using the forward and backward propagation techniques and gradient descent to update weight and bias. We utilized the sigmoid activation function with the cross entropy cost function and then tried out our algorithm on the sklearn breast cancer dataset.
-
Notifications
You must be signed in to change notification settings - Fork 0
Jess607/Implementation-of-a-2-layer-neural-network
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
Implementation of a 2 layer feed forward neural network from scratch.
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published