Deep Learning Crash Course

Deep Learning Crash Course - Paperback

$59.99
$59.99
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Deep Learning Crash Course
  • Deep Learning Crash Course
Deep Learning Crash Course - Paperback

Deep Learning Crash Course - Paperback

by Giovanni Volpe , Benjamin Midtvedt , Jesús Pineda
$59.99
$59.99

Book Overview

Build AI Models from Scratch (No PhD Required)

Deep Learning Crash Course is a fast-paced, thorough introduction that 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 your first neural network to advanced architectures like convolutional neural networks (CNNs), transformers, diffusion models, and graph neural networks (GNNs). Each project can be run on your own hardware or in the cloud, with annotated code available on GitHub.

You'll build and train models to:
  • Classify and analyze images, sequences, and time series
  • Generate and transform data with autoencoders, GANs (generative adversarial networks), and diffusion models
  • Process natural language with recurrent neural networks and transformers
  • Model molecules and physical systems with graph neural networks
  • Improve continuously through reinforcement and active learning
  • Predict chaotic systems with reservoir computing

Whether you're an engineer, scientist, or professional developer, you'll gain fluency in deep learning and the confidence to apply it to ambitious, real-world problems. With Deep Learning Crash Course, you'll move from using AI tools to creating them.
ISBN9781718503922
Author Giovanni Volpe , Benjamin Midtvedt , Jesús Pineda
PublisherNo Starch Press
GenreTechnology
FormatPaperback
PublishedJanuary 2026
LanguageENG- English
Pages680
Weight1.0 lb
Target AudienceAdults
Print SizeStandard Print

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More by Giovanni Volpe

Deep Learning Crash Course

Deep Learning Crash Course - Paperback

Deep Learning Crash Course - Paperback

By Giovanni Volpe, Benjamin Midtvedt, and Jesús Pineda
About Giovanni Volpe
Giovanni Volpe, head of the Soft Matter Lab at the University of Gothenburg and recipient of the Göran 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 Jesús 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.
About Benjamin Midtvedt
Giovanni Volpe, head of the Soft Matter Lab at the University of Gothenburg and recipient of the Göran 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 Jesús 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.
About Jesús Pineda
Giovanni Volpe, head of the Soft Matter Lab at the University of Gothenburg and recipient of the Göran 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 Jesús 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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