Neural Network Training

Intro

3Blue1Brown Neural Networks

Neural Network Training

1. Forward pass: model makes predictions from input data
2. Compute loss: loss_fn(predictions, true_labels)
3. Backward pass: compute gradients of the loss w.r.t. each weight (backpropagation)
4. Update weights: adjust weights using an optimizer (e.g., SGD, Adam)