
Deep Learning Crash Course
$104.95
- Paperback
680 pages
- Release Date
26 January 2026
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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