Deep Learning with Python
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Deep Learning with Python
Unlock the groundbreaking advances of deep learning with this extensively revised new edition of the bestselling original.
Deep Learning with Python
Nº de artículo: 143332282

Deep Learning with Python

86% of respondents would recommend this to a friend

Nº de artículo: 143332282

COP 281650

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What Stands Out

Comprehensive Coverage
This book provides thorough insights into deep learning concepts, techniques, and applications, ensuring readers from beginners to advanced levels can understand and implement neural networks effectively.
Practical Examples
Includes hands-on examples and exercises, allowing readers to apply theories in real-world scenarios, which enhances understanding and retention of deep learning principles through practical application.
Expert Author
Written by a leading expert in the field, this resource offers authoritative insights and guidance, making it a valuable asset for anyone looking to deepen their knowledge of deep learning methodologies.

Detalles de producto

Shop Deep Learning with Python online at a best price in Colombia. 1617296864
  • Printed in full color!
  • Learn deep learning from first principles
  • Cover topics like image classification, image segmentation, timeseries forecasting, and text classification
  • Includes practical techniques for real-world applications
  • Written by François Chollet, the creator of the Keras library
  • Includes a comprehensive table of contents with 14 chapters
Publisher Manning Publications
Publication date 7 April 2022
Edition 1st
Language English
Print length 400 pages
ISBN-10 1617296864
ISBN-13 978-1617296864
Item weight 1.07 kg
Dimensions 18.73 x 3.3 x 23.5 cm

Who Should Buy?

Suitable For
  • Aspiring Data Scientists

    This book offers a practical introduction to deep learning suitable for newcomers to data science and machine learning.

  • Software Developers

    Developers looking to integrate deep learning into existing applications will find valuable insights and coding examples.

  • Academic Students

    Ideal for university students studying machine learning or AI, providing a solid theoretical foundation paired with practical examples.

Not Suitable For
  • Beginner Programmers

    Those without programming experience may struggle with the technical content and coding examples included in the book.

DESCRIPCIÓN DEL PRODUCTO

Deep Learning with Python

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  • Pregunta: ¿Está Deep Learning with Python disponible para comprar en línea en Colombia?

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AI & Machine Learning Editorial Review

Deep Learning With Python is an insightful guide for those venturing into the realms of neural networks and deep learning, specifically utilizing TensorFlow and Keras. It is well-structured, making the complex concepts accessible to readers with minimal mathematical background. The author effectively balances hands-on coding examples with deeper theoretical explanations, alleviating the potential intimidation often associated with rigorous mathematics. While familiarity with Python is necessary, the book is approachable for beginners willing to grasp essential programming constructs. Despite some critiques regarding the depth of explanation and reliance on informal language, many readers find it a valuable entry point to understanding deep learning.

Customer Reviews & Ratings

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ventajas

  • Well-structured chapters for easier learning
  • Clear and intuitive explanations provided
  • Great resource for beginners in neural networks
  • Balanced between theory and practical examples
  • Good print quality and vivid illustrations

Contras

  • Paper quality could be improved for durability

Product Price History

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COP 281650

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características y beneficios

  • Revised edition of the bestselling 'Deep Learning with Python'.
  • Learn from François Chollet, the creator of Keras.
  • Practical techniques for real-world application.
  • Complete coverage of deep learning concepts from first principles.
  • Includes a free eBook with the purchase of the print book.
  • Full-color printing enhances understanding with clear examples and illustrations.

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