implementing a transformer to evaluate tweets
we implement a transformer architecture to predict whether tweets are worthy or subpar
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 use a historical example to illustrate a graphical tree approach to bayes' equation for updating beliefs in light of new evidence
we show how to use a convolutional net for the identify-handwritten-numbers task
we derive the backprop equations necessary for training a convolutional neural network
we present a to-do list game that combines foreign language learning, writing, and role playing
we describe an approach for deciding which interests to pursue given that time is limited
we derive the backpropagation equations used to correct the weights for a 3 layer neural net with an arbitrary number of neurons