Your question is Feedforward Network Training Loop. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
Construct a feedforward neural network training loop.
Describe and implement the practical training path, including mini-batch iteration, forward propagation, loss computation, backpropagation, optimizer updates, validation, checkpointing, and metric logging. Explain how you would make the loop numerically stable, reproducible, efficient on GPU hardware, and safe to resume after interruption.