Practical Deep Learning: A Python-Based Introduction, (Paperback)
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Practical Deep Learning: A Python-Based Introduction, (Paperback)
Practical Deep Learning teaches total beginners how to build datasets and train neural networks for DL projects. This is the book you've been waiting for if you've been curious about machine learning.
Practical Deep Learning: A Python-Based Introduction, (Paperback)
товар №: 64176255

Practical Deep Learning: A Python-Based Introduction, (Paperback)

82% of respondents would recommend this to a friend

товар №: 64176255

KZT 31810

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Practical Deep Learning teaches total beginners how to build datasets and train neural networks for DL projects. This is the book you've been waiting for if you've been curious about machine learning.
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What Stands Out

Hands-On Approach
Offers a practical, hands-on learning experience, enabling readers to apply deep learning concepts using Python, making it ideal for beginners seeking applicable skills.
Comprehensive Coverage
Covers a wide array of topics in deep learning, from basics to advanced techniques, ensuring that readers gain a thorough understanding of the field.
Accessible Format
Written in an easy-to-understand language, this book is designed for learners at all levels, making complex concepts more accessible to a broader audience.

Информация о продукте

Shop Practical Deep Learning: A Python-Based Introduction, (Paperback) online at a best price in Kazakhstan. 670313944
Book formatPaperback
Fiction/nonfictionNon-Fiction
GenreComputing & Internet
Publication dateFebruary, 2021
Pages464
Reading levelGeneral
SubgenreData Science
Series titleNo Series
Edition1
PublisherNo Starch Press
Original languagesEnglish
LanguageEnglish
Edu focusTechnology
Educational levelHigh School
Is collectibleN
IllustratorKevin Howdeshell
Binding typePerfect Binding
Recording time0 min
Retail packagingSingle Piece
Assembled product dimensions (l x w x h)7.00 x 1.30 x 9.20 in (17.8 x 3.3 x 23.4 cm)
Assembled product weight1.94 lb (880 grams)
Bisac subject headingComputers

Who Should Buy?

Suitable For
  • Beginners in AI

    Perfect for those new to artificial intelligence and deep learning concepts, providing clear explanations and practical examples.

  • Python Programmers

    Ideal for existing Python developers wanting to enhance their skills in deep learning applications using familiar programming language.

  • Data Scientists

    Beneficial for data scientists looking to incorporate deep learning techniques into their data analysis and machine learning workflows.

Not Suitable For
  • Advanced Users

    Not ideal for experienced deep learning practitioners seeking advanced theories or cutting-edge techniques beyond basic frameworks.

ОПИСАНИЕ ТОВАРА

Practical Deep Learning: A Python-Based Introduction, (Paperback)

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Вопросы и ответы клиентов

  • вопрос: What prerequisites are needed for this book?

    отвечать: Basic familiarity with computer programming and high school math.
  • вопрос: What will I learn from this book?

    отвечать: How to build training datasets, work with machine learning models, understand neural networks, and develop deep learning models from scratch.
  • вопрос: Does the book focus on theory or practical application?

    отвечать: The book focuses on practical applications by teaching how to build and train models for deep learning projects.

Ronald T Kneusel All Books Editorial Review

Practical Deep Learning: A Python-Based Introduction is a comprehensive non-fiction book that spans 464 pages, offering readers a valuable insight into the field of deep learning, tailored for individuals at a general reading level. The paperback format ensures ease of use for those studying computing and the broader genre of data science. Published by No Starch Press in February 2021, this book is conducive for high school educational levels, making it accessible for students and educators alike. With its perfect binding and authored with contributions from illustrator Kevin Howdeshell, it stands as a solid reference for technology enthusiasts and learners aiming to grasp deep learning fundamentals.

Customer Reviews & Ratings

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Плюсы

  • Comprehensive guide for Python-based deep learning
  • Suitable for high school education
  • Well-structured for general readers
  • Perfect binding ensures durability
  • Includes insights into data science applications

Минусы

  • No series title may limit broader context

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KZT 31810

Закажите сейчас и получите товар приблизительно Monday, Октябрь 19

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Особенности и преимущества

  • Teaches beginners to build datasets for neural networks
  • Focuses on deep learning subfield of machine learning
  • Explains core concepts and foundations
  • Inspires exploration of deep learning
  • Covers Python, scikit-learn, Keras libraries
  • Includes building models from scratch and a final case study

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