This book, written by Simon J.D. Prince, is a professional book about deep learning, covering topics such as the theoretical foundations of deep learning, performance evaluation, convolutional networks, Transformers, graph neural networks, Generative Adversarial Networks (GANs), diffusion models, and reinforcement learning, accompanied by a multitude of exercises.