Deep Learning Crash Course

This comprehensive, hands-on guide to deep learning with Python covers fundamental concepts and advanced techniques to apply deep neural network models in real-world scenarios.

Deep Learning Crash Course starts from the basics to explore the most modern techniques and applications that are of great interest right now, and whose popularity will only grow in the future. It covers advanced topics such as generative models (the technology behind deep fakes), self-supervised learning, attention mechanisms (the technology behind ChatGPT), diffusion models (the technology behind text2image models such as DALL-E), graph neural networks (the technology behind AlphaFold), and deep reinforcement learning (the technology behind AlphaGo). These cutting-edge concepts and techniques address the current demands and trends in deep learning, giving you practical skills to tackle complex real-world problems.

This book title, Deep Learning Crash Course, ISBN: 9781718503922, by Giovanni Volpe, Benjamin Midtvedt, Jesús Pineda, Henrik Klein Moberg, Harshith Bachimanchi, Joana B. Pereira, Carlo Manzo, published by No Starch Press (August 12, 2025) is available in paperback. Our minimum order quantity is 25 copies. All standard bulk book orders ship FREE in the continental USA and delivered in 4-10 business days.

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