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Neural Network Projects with Python: The ultimate guide to using Python to explore the true power of neural networks through six projects
Discover neural network architectures (like CNN and LSTM) that are driving recent advancements in AI. By the end of this book, you will have mastered the different neural network architectures and created cutting-edge AI projects in Python that will immediately strengthen your machine learning portfolio.
Neural Network Projects with Python: The ultimate guide to using Python to explore the true power of neural networks through six projects
제품번호 #: 23674340

Neural Network Projects with Python: The ultimate guide to using Python to explore the true power of neural networks through six projects

제품번호 #: 23674340

KRW 89561

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Discover neural network architectures (like CNN and LSTM) that are driving recent advancements in AI. By the end of this book, you will have mastered the different neural network architectures and created cutting-edge AI projects in Python that will immediately strengthen your machine learning portfolio.
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What Stands Out

Comprehensive Guide
This book provides in-depth knowledge about neural networks, making complex topics accessible for both beginners and experienced developers, facilitating a deeper understanding of artificial intelligence.
Hands-On Projects
Featuring six practical projects, readers can immediately apply their knowledge, bridging the gap between theory and real-world applications in Python, enhancing their skills effectively.
Python Focused
Tailored for Python users, the book leverages popular libraries and frameworks, ensuring compatibility and ease of use, ideal for developers looking to implement neural networks efficiently.

제품 세부 정보

Find the ultimate guide to using Python for neural networks. Discover the power of neural networks through six exciting projects. Shop now at Ubuy South Korea Global Store.
  • Learn to utilize Python to explore the capabilities of neural networks through six projects
  • Comprehensive guide for delving into the true potential of neural networks
  • Each project offers hands-on experience in building and training neural networks
  • Covers various applications such as image and text recognition, and more
  • Ideal for those looking to gain practical skills in working with neural networks
  • Written in a clear and approachable manner for both beginners and experienced Python users
Publisher Packt Publishing
Publication date February 28, 2019
Language English
Print length 308 pages
ISBN-10 1789138906
ISBN-13 978-1789138900
Item Weight 7.4 ounces (209.79 grams)
Dimensions 7.5 x 0.7 x 9.25 inches (19.1 x 1.8 x 23.5 cm)

Who Should Buy?

Suitable For
  • Beginner Practitioners

    New learners eager to understand neural networks through practical projects will benefit greatly from this guide.

  • Python Enthusiasts

    Users already familiar with Python can enrich their skills by applying it in neural network projects effectively.

  • Data Science Students

    Students in data science can utilize this book to gain hands-on experience in neural network implementations.

Not Suitable For
  • Advanced Experts

    Experienced practitioners may find the content too basic and lacking in complex theoretical discussions.

제품 설명

Neural Network Projects with Python: The ultimate guide to using Python to explore the true power of neural networks through six projects

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  • 의문: Ubuy에서 온라인으로 Neural Network Projects with Python: The ultimate 쇼핑하는 방법?

    답변: Ubuy에서 온라인으로 Neural Network Projects with Python: The ultimate을(를) 쉽게 쇼핑할 수 있습니다.. 제품을 검색하고 체크아웃하는 동안 배송 방법을 선택하고 해당 위치로 배송받기만 하면 됩니다.
  • 의문: Neural Network Projects with Python: The ultimate는 South Korea에서 온라인 쇼핑이 가능합니까?

    답변: 예, Ubuy South Korea에서 이 제품을 합리적인 가격에 구매할 수 있습니다.. Neural Network Projects with Python: The ultimate은(는) 현지에서 구할 수 없지만 특급 배송 서비스로 저희를 신뢰할 수 있습니다.
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Intelligence & Semantics Editorial Review

The book B07P77QWW7 focuses on key topics in Machine Learning (ML) that are graspable to beginners. It covers APIs and ML processes for use in countless other projects. The examples increase in difficulty with detailed explanations, making it easy to follow along and start one's own AI project in hours. However, the chapter on building CNN layers could've been more detailed, and the coding examples have bugs that require resorting to downloading from GitHub. Overall, the book is an excellent resource for anyone starting their journey in the ML field.

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장점

  • Covers key topics in ML that are graspable to beginners
  • Clear, simply explained and fun projects
  • Examples of increasing difficulty with detailed explanations
  • Easy to follow and start own AI project in hours
  • Thorough preprocessing sections
  • Covers a wide range of topics in depth

단점

  • Poor coding examples with bugs, requiring resorting to downloading from GitHub

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