Handwritten Digit Recognition on MNIST with Feedforward Neural Network
I decided to study deep learning and read a book on deep learning [1]. Furthermore, I created a handwritten digit recognition program using the MNIST dataset [2] MNIST is like the Hello World for building classifiers I’ll use the simplest feedforward neural network (FFNN) (I don’t understand the others well) Just reading chapters 1 through 4 provides enough information for implementation Composed of only 3 layers: input layer, hidden layer, and output layer I’ll use existing packages for matrix calculations and datasets I’ll implement the image recognition program itself (not using caffe, TensorFlow, etc....