MLP

• An implementation of two layer fully connected neural network using backpropagation for classification problem from scratch.
• Compute gradient using the chain rule.
• Use cross entropy as the loss function and stochastic gradient descent to train the model parameters.
• The implementation is inspired by logistic regression and softmax regression.