Deep learning with Python / François Chollet.
By: Chollet, François [author.].
Publisher: Shelter Island : Manning Publications, ©2021Copyright date: ©2021Edition: Second edition.Description: xxiii, 478 pages : color illustrations ; 24 cm.Content type: text | still image Media type: unmediated Carrier type: volumeISBN: 9781617296864; 1617296864.Subject(s): Python (Computer program language) | Machine learning | Neural networks (Computer science)Genre/Form: Print books.| Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|
| On Shelf | QA76.73.P98 C465 2021 (Browse shelf) | Available | AU00000000019436 |
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| QA76.73 .P98 2023 Beginning Programming with Python For Dummies, / | QA76.73 .P98 2023 Publishing Python packages : test, share, and automate your projects / | QA76.73.P98 B454 2018 Applied text analysis with Python : enabling language-aware data products with machine learning / | QA76.73.P98 C465 2021 Deep learning with Python / | QA76.73.P98 D45 2020 Intro to Python for the computer and data sciences : learning to program with AI, big data and the cloud / | QA76.73.P98 D45 2020 Intro to Python for computer science and data science: learning to program with AI, big data, and the cloud | QA76.73.P98 E48 2021 Introduction to Python for kids : learn Python the fun way by completing activities and solving puzzles / |
Previous edition: 2018.
Includes index.
1. What is deep learning? -- 2. The mathematical building blocks of neural networks -- 3. Introduction to Keras and TensorFlow -- 4. Getting started with neural networks: classification and regression -- 5. Fundamentals of machine learning -- 6. The universal workflow of machine learning -- 7. Working with Keras: a deep dive -- 8. Introduction to deep learning for computer vision -- 9. Advanced deep learning for computer vision -- 10. Deep learning for timeseries -- 11. Deep learning for text -- 12. Generative deep learning -- 13. Best practices for the real world -- 14. Conclusions.
Recent innovations in deep learning unlock exciting new software capabilities like automated language translation, image recognition, and more. Deep learning is quickly becoming essential knowledge for every software developer, and modern tools like Keras and TensorFlow put it within your reach-- even if you have no background in mathematics or data science. This book shows you how to get started. "Deep learning with Python, second edition" introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you'll build your understanding through intuitive explanations, crisp illustrations, and clear examples. You'll quickly pick up the skills you need to start developing deep-learning applications.--