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Price distribution over 56 days • 1 price levels

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Most common price: £68 (56 days, 100.0%)

Price range: £68 - £68

Price levels: 1 different prices over 56 days

Description

Learn deep learning with Python, from the perceptron all the way to training your own Stable Diffusion model. Written by a university professor and former CERN researcher, this hands-on book covers the full landscape of modern AI — neural networks, CNNs, Transformers, GPT, CLIP, GANs, diffusion models, and reinforcement learning — with clear explanations and working code in Keras and PyTorch. Every chapter includes a YouTube video and an interactive Google Colab notebook. Who this book is for Students getting started with neural networks and artificial intelligence. Developers and IT professionals who want to update and strengthen their deep learning skills. Instructors looking for ready-to-use teaching material (theory + practice). What you will learn (5 parts, one complete journey) Part 1 — Classical Networks: perceptrons, regression, and classification with Keras. Part 2 — Computer Vision: convolutional networks, UNet segmentation, and YOLO object detection. Part 3 — Transformers & Large Language Models: the attention mechanism, GPT, and CLIP. Part 4 — Generative Models: GANs, diffusion models, and Stable Diffusion. Part 5 — Reinforcement Learning: Deep Q-Networks (DQN) and Policy Gradient methods (PPO). What's included beyond the book A YouTube video introducing the key ideas of each chapter. An interactive Google Colab notebook with the complete source code, ready for experimentation or classroom use. A learning path that starts with Keras for intuition and moves to PyTorch for research-grade, custom architectures. Why this book Most deep learning books stop before Transformers and generative AI. This one takes you on the complete journey of modern deep learning, with runnable code and video for every chapter — not a purely theoretical manual, nor a set of scattered tutorials, but an integrated, classroom-tested path. About the author Hernán Díaz Rodríguez is a professor of Computer Science and Artificial Intelligence at the University of Oviedo, where he earned his PhD in Computer Science. He holds an MBA from The Open University (UK) and has over twenty years of experience in advanced technology and research, including five years at CERN, the European Organization for Nuclear Research and one of the world's leading scientific laboratories.

Product Specifications

Format: hardcover
ASIN: B0G32BCNZD
Category: Books > Subjects > Computing & Internet > Programming > Introduction
Domain: Amazon UK
Release Date: 19 November 2025
Listed Since: 20 November 2025

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DEEP LEARNING WITH PYTHON: Algorithms , Arquitectures and Practical Applications

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It has never been this cheap. We have no record of a lower price.

DEEP LEARNING WITH PYTHON: Algorithms , Arquitectures and Practical Applications

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Price Distribution

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Description

Product Specifications

Barcode

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