This demonstrates a basic implementation of a feedforward neural network with one hidden layer assuming baises to be zero, trained for 1500 iterations, using sigmoid activation functions and a simple backpropagation algorithm for training.
This demonstrates a basic implementation of a feedforward neural network with one hidden layer assuming baises to be zero, trained for 1500 iterations, using sigmoid activation functions and a simple backpropagation algorithm for training.