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Author:   Giovanni Volpe ,  Benjamin Midtvedt ,  Jesus Pineda ,  Henrik Klein Moberg
Publisher:   No Starch Press,US
Imprint:   No Starch Press,US
Weight:   0.369kg
ISBN:  

9781718503922

ISBN 10:   171850392
Pages:   680
Publication Date:   06 January 2026
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   To order  
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Table of Contents

Introduction Chapter 1: Dense Neural Networks for Classification Chapter 2: Dense Neural Networks for Regression Chapter 3: Convolutional Neural Networks for Image Analysis Chapter 4: Encoders–Decoders for Latent Space Manipulation Chapter 5: U-Nets for Image Transformation Chapter 6: Self-Supervised Learning to Exploit Symmetries Chapter 7: Recurrent Neural Networks for Timeseries Analysis Chapter 8: Attention and Transformers for Sequence Processing Chapter 9: Generative Adversarial Networks for Image Synthesis Chapter 10: Diffusion Models for Data Representation and Exploration Chapter 11: Graph Neural Networks for Relational Data Analysis Chapter 12: Active Learning for Continuous Learning Chapter 13: Reinforcement Learning for Strategy Optimization Chapter 14: Reservoir Computing for Predicting Chaos Conclusion and Outlook

Reviews

""This is a book that rewards effort. It respects the reader’s intelligence without assuming expertise, and it delivers one of the most practical learning experiences I have encountered in AI education. For anyone serious about moving from AI observer to AI builder, this book is a strong recommendation."" —Antoine Tardif, Founder & CEO, Unite.AI

Author Information

Giovanni Volpe, head of the Soft Matter Lab at the University of Gothenburg and recipient of the G ran Gustafsson Prize in Physics, has published extensively on deep learning and physics and developed key software packages including DeepTrack, Deeplay, and BRAPH. Benjamin Midtvedt and Jesos Pineda are core developers of DeepTrack and Deeplay. Henrik Klein Moberg and Harshith Bachimanchi apply AI to nanoscience and holographic microscopy. Joana B. Pereira, head of the Brain Connectomics Lab at the Karolinska Institute, organizes the annual conference Emerging Topics in Artificial Intelligence. Carlo Manzo, head of the Quantitative Bioimaging Lab at the University of Vic, is the founder of the Anomalous Diffusion Challenge.

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