Implement and Debug a Minimal Neural Network Training Loop (PyTorch)

Problem: Build and Troubleshoot a Small Trainable PyTorch Neural Network Using a small binary-classification dataset with feature tensor X and target tensor y, create a two-layer MLP in PyTorch with the sequence Linear -> ReLU -> Linear, along with a functional training routine. Your implementation must: Define the forward computation and return raw logits. Calculate the objective with BCEWithLogitsLoss. Modify model weights through a gradient-based optimizer, such as…