Deep Learning, Framework, Neural Networks, Heartbeat, Machine Learning.
forward pass, I compute predictions and loss; for the backward pass, I compute gradients. Then I compile a function that computes loss, scores, and gradients from data and weights. Lastly, I run this function many times to train the network. Don’t worry about missing out on the latest ML news.