Machine Learning, Python, Deep Learning, Data Science, Pytorch.
gradients multiple times. Each iteration is called an epoch. Let’s train the model for 100 epochs. Once again, let’s verify that the loss is now lower: As you can see, the loss is now much lower than what we started out with. Let’s look at the model’s predictions and compare them with the targets.