Deep learning with Python (Record no. 200026)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03143nam a22003017a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260602170301.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 260428b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781633436589 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 CHO-D |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Chollet, François. |
| 245 ## - TITLE STATEMENT | |
| Title | Deep learning with Python |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 3rd |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Shelter Island, NY |
| Name of publisher | Manning Publications, |
| Year of publication | 2026 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xxii, 621p. |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Table of Contents<br/><br/>1 What is deep learning?<br/>2 The mathematical building blocks of neural networks<br/>3 Introduction to TensorFlow, PyTorch, JAX, and Keras<br/>4 Classification and regression<br/>5 Fundamentals of machine learning<br/>6 The universal workflow of machine learning<br/>7 A deep dive on Keras<br/>8 Image classification<br/>9 ConvNet architecture patterns<br/>10 Interpreting what ConvNets learn<br/>11 Image segmentation<br/>12 Object detection<br/>13 Timeseries forecasting<br/>14 Text classification<br/>15 Language models and the Transformer<br/>16 Text generation<br/>17 Image generation<br/>18 Best practices for the real world<br/>19 The future of AI<br/>20 Conclusions |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Deep Learning with Python, Third Edition puts the power of deep learning in your hands. This new edition includes the latest Keras and TensorFlow features, generative AI models, and added coverage of PyTorch and JAX. Learn directly from the creator of Keras and step confidently into the world of deep learning with Python.<br/><br/>In Deep Learning with Python, Third Edition you’ll discover:<br/><br/>• Deep learning from first principles<br/>• The latest features of Keras 3<br/>• A primer on JAX, PyTorch, and TensorFlow<br/>• Image classification and image segmentation<br/>• Time series forecasting<br/>• Large Language models<br/>• Text classification and machine translation<br/>• Text and image generation—build your own GPT and diffusion models!<br/>• Scaling and tuning models<br/><br/>With over 100,000 copies sold, Deep Learning with Python makes it possible for developers, data scientists, and machine learning enthusiasts to put deep learning into action. In this expanded and updated third edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. You'll master state-of-the-art deep learning tools and techniques, from the latest features of Keras 3 to building AI models that can generate text and images. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Deep Learning with Python, Third Edition makes the concepts behind deep learning and generative AI understandable and approachable. This complete rewrite of the bestselling original includes fresh chapters on transformers, building your own GPT-like LLM, and generating images with diffusion models. Each chapter introduces practical projects and code examples that build your understanding of deep learning, layer by layer.<br/> |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Artificial intelligence |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Machine learning |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Deep learning (DL) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Deep learning |
| General subdivision | Artificial intelligence |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Python |
| General subdivision | Computer program language |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Watson, Matthew |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books and Monographs |
| Full call number | Accession Number | Koha item type | Lost status | Damaged status | Permanent Location | Current Location | Shelving location | Date acquired | Source of acquisition |
|---|---|---|---|---|---|---|---|---|---|
| 006.31 CHO-D | 102870 | Books and Monographs | Central Library, NIT Jalandhar | Central Library, NIT Jalandhar | General Stacks | 20.05.2026 | Mumbai, TV Enterprises | ||
| 006.31 CHO-D | 102871 | Books and Monographs | Central Library, NIT Jalandhar | Central Library, NIT Jalandhar | General Stacks | 20.05.2026 | Mumbai, TV Enterprises | ||
| 006.31 CHO-D | 102872 | Books and Monographs | Central Library, NIT Jalandhar | Central Library, NIT Jalandhar | General Stacks | 20.05.2026 | Mumbai, TV Enterprises | ||
| 006.31 CHO-D | 102873 | Books and Monographs | Central Library, NIT Jalandhar | Central Library, NIT Jalandhar | General Stacks | 20.05.2026 | Mumbai, TV Enterprises | ||
| 006.31 CHO-D | 102874 | Books and Monographs | Central Library, NIT Jalandhar | Central Library, NIT Jalandhar | General Stacks | 20.05.2026 | Mumbai, TV Enterprises |