chaitanyacsss / Neural-Networks-Backpropagation-Implementation

Neural Networks : Back propagation implementation

Neural Networks - Simple Back prop implementation from Scratch

Implemented Backpropagation for training a Neural Network on MNIST data; tested on MNIST and an external data set.

• Using sigmoid as the activation function for the hidden layer, softmax for the output layer.
• Hyperparameters tuned; editable.
• Mini-Batch gradient descent used to train weights.