Building Neural Networks with PyTorch: Mastering the Forward Pass

The forward pass is the core mechanism that enables neural networks to process data and generate predictions. Understanding how inputs propagate through weights, biases, and activation functions is essential for grasping how deep learning models actually work. This foundational knowledge is crucial before moving on to training techniques like backpropagation.