Deep Learning Crash Course, 9781718503922
Paperback
Build AI models from scratch: Your fast-track to deep learning mastery.

Deep Learning Crash Course

$104.95

  • Paperback

    680 pages

  • Release Date

    26 January 2026

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Summary

Deep Learning Crash Course: Build AI Models from Scratch (No PhD Required)

This fast-paced, thorough introduction will have you building today’s most powerful AI models from scratch. No experience with deep learning required!

Designed for programmers who may be new to deep learning, this book offers practical, hands-on experience, not just an abstract understanding of theory. You’ll start from the basics, and using PyTorch with real datasets, you’ll quickly progress from you…

Book Details

ISBN-13:9781718503922
ISBN-10:171850392X
Author:Giovanni Volpe, Benjamin Midtvedt, Jesus Pineda
Publisher:No Starch Press,US
Imprint:No Starch Press,US
Format:Paperback
Number of Pages:680
Release Date:26 January 2026
Weight:369g
Dimensions:234mm x 177mm
What They're Saying

Critics Review

“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

About The Author

Giovanni Volpe

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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