£38.49

About as cheap as it gets — within 5% of the all-time low it hit 2 months ago.

£38 today · all-time low £37 (Aug 2026) · usually the usual

Manning Deep Learning with PyTorch, Second Edition: Training and Applying Deep Learning and Generative Ai Models

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Price History & Forecast

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Last 34 days · 34 data points (no recent data)

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£40.79 £36.73 £37.62 £38.50 £39.39 £40.27 £41.16 25 July 2026 02 August 2026 10 August 2026 18 August 2026 27 August 2026
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Price Distribution

Price distribution over 34 days • 3 price levels

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Current Price
5 days 16 days · current 13 days 0 4 8 12 16 £37 £38 £41 Days at Price

Price Analysis

Most common price: £38 (16 days, 47.1%)

Price range: £37 - £41

Price levels: 3 different prices over 34 days

Description

Stop guessing at PyTorch syntax, start building production-ready models today. Bridge the gap between theory and working code with guided, hands-on projects. Confused by transformers and diffusion? Learn them through clear, incremental steps. Grow from basic tensors to complete neural networks without drowning in jargon. Feel confident diagnosing training issues using PyTorch’s powerful visualization tools. Stay market-relevant by mastering the latest generative AI techniques right now. Project-based learning: Build an end-to-end medical image classifier that cements every concept. Flexible PyTorch APIs: Customize layers, losses, and optimizers for research or production speed. CNNs, RNNs, Transformers: Apply the right architecture to vision, language, and multimodal tasks. Generative models: Create text and images with large language models and diffusion networks. Optimization know-how: Improve accuracy, reduce inference cost, and streamline model deployment. Deep Learning with PyTorch, Second Edition, by Luca Antiga, Eli Stevens, Howard Huang, and Thomas Viehmann, delivers a credible, code-first roadmap for serious AI practitioners. The book guides you through every stage, from data loading to scaled deployment. Each chapter introduces a single concept, then immediately applies it to a working project. Updated coverage of transformers, diffusion, and distributed training keeps the content current. Friendly explanations, annotated code, and ample visuals make complex ideas clear and actionable. Finish the book able to design, train, and ship state-of-the-art models using PyTorch’s flexible toolkit. You will upskill confidently and join the ranks of engineers pushing AI forward. Ideal for Python developers, data scientists, and ML engineers seeking practical mastery of modern deep learning.

Product Specifications

Brand
Manning
Format
paperback
Domain
Amazon UK
Release Date
01 April 2026
Listed Since
06 September 2025

Barcode

No barcode data available

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