Simple convolutional neural network (purely numpy) to classify the original MNIST dataset. My first project with a convnet. 🖼
a year ago | ca. 1min to read
About
This is supposed to be a little test project. I want to play around with convolutional layers, pooling layers, normalization strategies (dropout, batch normalization), training algorithms (Vanilla SGD, SGD w. Momentum, etc.) and much more.
