we implement a transformer architecture to predict whether tweets are worthy or subpar

we set up a net with convolutional architecture in pytorch, which can distinguish images of birds from those of airplanes

we construct a neural net for sentiment prediction from scratch using numpy

we use a convolutional network to predict the inputs and outputs of a separate target net

we show how to use a convolutional net for the identify-handwritten-numbers task