PyTorch: The Practical Guide - Tapa blanda

Gollnick, Bert

 
9781493227860: PyTorch: The Practical Guide
Tapa blanda
ISBN 10: 1493227866 ISBN 13: 9781493227860
Editorial: Rheinwerk Computing, 2026

Sinopsis

PyTorch is the framework for deep learning—so dive on in! Learn how to train, optimize, and deploy AI models with PyTorch by following practical exercises and example code. You’ll walk through using PyTorch for linear regression, classification, image processing, recommendation systems, autoencoders, graph neural networks, time series predictions, and language models—all the essentials. Then evaluate and deploy your models using key tools like MLflow, TensorBoard, and FastAPI. With information on fine-tuning your models using HuggingFace and reducing training time with PyTorch Lightning, this practical guide is the one you need!

Highlights:

1) Deep learning
2) Linear regression
3) Classification
4) Computer vision
5) Recommendation systems
6) Autoencoders
7) Graph neural networks (GNNs)
8) Time series predictions
9) Language models
10) Pretrained networks
11) Evaluation and deployment
12) PyTorch Lightning

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Acerca del autor

Bert Gollnick is a senior data scientist, specializing in renewable energies. For many years, he has taught courses about data science and machine learning, and more recently, about generative AI and natural language processing. Bert studied aeronautics at the Technical University of Berlin and economics at the University of Hagen. His main areas of interest are machine learning and data science.

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Editorial
Rheinwerk Computing
Año de publicación
2026
Idioma
Inglés
ISBN 10 
1493227866
ISBN 13 
9781493227860
Encuadernación
Tapa blanda
Número de páginas
415
Contacto del fabricante
service@rheinwerk-verlag.de
service@rheinwerk-verlag.de

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