This repository contains the example code and tutorials from the book ‘Learn Deep Learning with PyTorch’. It covers foundational deep learning topics including PyTorch basics such as tensors and automatic differentiation, neural network building blocks, convolutional neural networks, recurrent neural networks, and practical topics like GPU configuration. The code is organized as Jupyter Notebooks for interactive learning.