This repository accompanies a textbook on deep learning and artificial neural networks, providing hands-on code examples in Python using PyTorch and TensorFlow. It covers fundamental concepts like gradient descent, regularization, and modern architectures including CNNs, RNNs, autoencoders, and generative models, along with reinforcement learning basics. The content includes chapter manuscripts, exercise solutions, and supporting material for learners.