Deep Learning books

manning.com / catalog / Data Science / Deep Learning
(1)
Jungjun Hur and Younghee Song , 2026
(4)
Guglielmo Iozzia
Foreword by Matthew R. Versaggi
, 2026
(1)
Pere Martra , 2026
Max Gfeller , 2026
(1)
Micheal Lanham , 2026
(1)
Tomasz Lelek and Artur Skowroński , 2026
(2)
Luis G. Serrano , 2026
Vivek Kalyanarangan , 2026
(1)
François Chollet, Tomasz Kalinowski , 2026
(2)
Hamza Farooq , 2026
(1)
Quan Nguyen , 2026
(2)
Engin Bozdag and Stefano Bennati , 2026
Christophe De Greift , 2026
(2)
Elliot Arledge , 2026
(1)
Hadi Aghazadeh , 2026
(1)
Rishal Hurbans , 2026
(11)
Sebastian Raschka , 2026
Val Andrei Fajardo , 2026
Hanchung Lee , 2026
(4)
Howard Huang, Eli Stevens, Luca Antiga, Thomas Viehmann , 2026
Ben Auffarth , 2026
Satyajit Pattnaik , 2026
Satyajit Pattnaik , 2026
Satyajit Pattnaik , 2026
Satyajit Pattnaik , 2026
Jeremie Charlet , 2026
Jeremie Charlet , 2026
Jeremie Charlet , 2026
Jeremie Charlet , 2026
Tobias Zwingmann , 2026
Tobias Zwingmann , 2026
Tobias Zwingmann , 2026
Tobias Zwingmann , 2026
(4)
Richard Heimann , 2026
Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat, Naman Dwivedi , 2025
(1)
Numa Dhamani and Maggie Engler
Foreword by Alice Hunsberger
, 2025
(1)
Mark Liu , 2025
(19)
François Chollet and Matthew Watson , 2025
(2)
Tyler Suard , 2025
(1)
Christopher Kardell and Mark Brouwer , 2025
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Dive into the transformative world of deep learning, where artificial neural networks push the boundaries of what's possible in AI. From fundamental concepts to advanced architectures, discover comprehensive resources on training neural networks, computer vision, natural language processing, and generative AI. Learn practical implementations using popular frameworks like PyTorch, TensorFlow, and JAX, while mastering essential techniques in model deployment, optimization, and scalability. Whether you're interested in building custom language models, implementing computer vision solutions, or exploring cutting-edge applications in financial technology, our collection covers both theoretical foundations and hands-on applications. Perfect for beginners and experienced practitioners alike, these resources will help you navigate the complex landscape of modern deep learning and its real-world applications. For a more detailed breakdown, take a look at the following categories: Generative AI books