Deep learning with Python / François Chollet

Por: Chollet, François [author.]Tipo de material: TextoTextoEditor: Shelter Island : Manning Publications, 2021Edición: Second editionDescripción: xxiii, 478 páginas: ilustraciones en colorTipo de contenido: texto Tipo de medio: no mediado Tipo de portador: volumenISBN: 9781617296864; 9781617296864Tema(s): PYTHON (Lenguaje de programación para computadores) | APRENDIZAJE AUTOMATICO | REDES NEURALESClasificación CDD: 006.31 Recursos en línea: VERSIÓN DIGITAL
Contenidos:
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.
Resumen: 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.-- Source other than the Library of Congress.
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Colección General 006.31 C547 2021 (Navegar estantería(Abre debajo)) 3 Prestado RETENER (Para modificación interna) Asignatura: Máquinas de aprendizaje 31/12/2025 3560900264257

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.-- Source other than the Library of Congress.

COBERTURA BIBLIOGREFICA:
IPD440
Asignatura: Máquina de aprendizaje

Última actualización 18 de octubre 2022