PyTorch DataLoader Explained: Datasets, Batches, and Image Folders
PyTorch DataLoader explained: build a Dataset, batch and shuffle CIFAR-10, use transforms.v2, speed up with num_workers, and load your own image folder.
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PyTorch Autograd: How backward() Builds Gradients
PyTorch autograd explained: requires_grad, the computational graph, how backward() applies the chain rule, why zero_grad matters, and torch.no_grad.
PyTorch Tensors Explained: Shapes, Broadcasting, and Images as Arrays
Learn what a PyTorch tensor is: shape, dtype, device, indexing, view vs reshape, broadcasting, and how to turn images into N, C, H, W tensors and back.
PyTorch Tutorial 2026: From Tensors to Tiny Diffusion
Free PyTorch tutorial for 2026: install PyTorch 2.15, check your GPU, make your first tensor, and start building a tiny diffusion transformer from scratch.