Machine Learning, Linear Regression, Gradient Descent, Backpropagation.
almost always never enough for the loss to converge. In practice, this number is manually tuned. At the end of it all, you should get a final model, ready for inference, say: Let’s have a review of the entire workflow in a pseudo-code: initialise_weights() for i in epochs: for j in batches: