A personal implementation of neural network from scratch.

The implementation is for below configuration

activation function - relu, sigmoid, tanh, and softmax.
optimization algorithms - gradient descent, gradient descent with momentum, NAG, AdaGrad, RMSProp, and Adam.

The test.ipynb shows results on FASHION Mnist dataset using different configuration. Please refer to it.

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
.ipynb_checkpoints		.ipynb_checkpoints
dataset		dataset
model		model
MLP.ipynb		MLP.ipynb
NeuralNetwork.py		NeuralNetwork.py
README.md		README.md