DemoNN

A neural network for spiral classification in python using numpy Includes:

L1 & L2 regularization
Different activation functions
SGD with momentum
Mini batch implementation

Main.py

Read coirdinates input files from CSV, build neural network with constant configuration.
can read a serialized network class from saved file

Netowrk.py

A neural network class Perform train and test functionality.

Layer.py

Includes:

FeedForward algorithm
BackPropogation algorithm
Calculation of delta vector for weights change in backprop
Bias term

activationfunction.py

Enable different activation functions for the network

Incstructions

If you want to train the netwrok call testSpiralClassification
If you want to test serialized network call RunSerializedNetwork