No Starch Press – Deep Learning Crash Course (nostarch.com)

No Starch Press has announced the release of a comprehensive book titled "Deep Learning Crash Course," which serves as a foundational resource for both beginners and seasoned practitioners in the AI/ML community. The book covers a wide array of crucial topics, starting from building basic neural networks and advancing through to complex concepts such as Generative Adversarial Networks (GANs), diffusion models, and graph neural networks. Significant emphasis is placed on practical applications, enabling readers to understand how to implement these techniques effectively across various domains, including image processing and language modeling. This publication is particularly noteworthy as it not only caters to the growing interest in deep learning but also addresses new methodologies like self-supervised learning and active learning, alongside traditional models. By including modern advancements such as transformers and reservoir computing, the book equips readers with the tools and knowledge essential for tackling contemporary AI challenges. The structured layout, broken into focused chapters, facilitates incremental learning, making it an invaluable addition to any AI enthusiast's library.