Visual Introduction to PyTorch

Source: Dev.to

Overview

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!