Visual Introduction to PyTorch

PyTorch is currently one of the most popular deep learning frameworks. It is an open-source library built upon the Torch Library. Most tutorials assume you're comfortable jumping straight into code. I made a visual introduction that walks through the core concepts step by step, with animations and diagrams instead of walls of text. Whether you're completely new to deep learning or just want a clearer mental model of what's happening under the hood, this should help. What's covered: Tensors - what they are and how PyTorch thinks about data Initialisation Functions - how weights get set up before training The basic ML training loop - forward pass, loss, backward, update Activation functions - ReLU, Sigmoid, Tanh and when in the training pipeline they are used ...and a few more concepts to tie it all together!