Omslagsbild från Amazon
Bild från Amazon.com

Deep learning with Python / François Chollet.

Av: Materialtyp: TextTextSpråk: Engelska Utgivningsuppgift: Shelter Island (New York, Estados Unidos) : Manning, [2021]Datum för upphovsrätt: ©2021Utgåva: Second editionBeskrivning: xxiv, 478 pages color illustrations 23 cmInnehållstyp:
  • text
  • still image
Bärartyp:
  • volume
ISBN:
  • 9781617296864
  • 1617296864
Ämnen: DDK-klassifikation:
  • 006.31 23
Library of Congress (LC) klassifikationskod:
  • QA76.73.P98
Annan klassifikation:
  • Pubbz Python
Innehåll:
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.
Sammanfattning: 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.
Bestånd
Exemplartyp Aktuellt bibliotek Avdelning Hyllsignatur Status Förfallodatum Streckkod Exemplarreservationer
Kursbok Högskolan Väst Entréplan (2nd floor) Våning 2 006.31 Chollet Tillgänglig 6004300073025
Antal reservationer: 0

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.

Imported from: zcat.oclc.org:210/OLUCWorldCat (Do not remove)

Teknik från Koha