Spoilers

Explore the fundamentals of implementing linear regression in PyTorch. Learn to create tensors, use autograd for automatic differentiation, build model classes, and organize code for data preparation, configuration, and training. Understand CPU and GPU tensor differences and visualize computation graphs to develop a clear understanding of PyTorch's core features.