Name		Name	Last commit message	Last commit date
src		src
LICENSE		LICENSE
README.md		README.md

Repository files navigation

Neural Network Implementation

Description

Neural Network implemented with different Activation Functions, Optimizers, and Loss Functions.

Activation Functions

Sigmoid
Relu
Leaky-Relu
Softmax

Optimizers

Gradient Descent
AdaGrad
RMSProp
Adam

Loss Functions

Cross-Entropy Loss
Hinge-Loss
Mean Squared Error (MSE)

Contributors

About

Neural Network implemented with different Activation Functions i.e, sigmoid, relu, leaky-relu, softmax and different Optimizers i.e, Gradient Descent, AdaGrad, RMSProp, Adam. You can choose different loss functions as well i.e, cross-entropy loss, hinge-loss, mean squared error (MSE)

1 star

1 watching

Report repository

Releases

Packages

Contributors

Languages