Grokking Deep Learning
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Grokking Deep Learning
Grokking Deep Learning teaches you to build deep learning neural networks from scratch!
Grokking Deep Learning
منتج #: 12102766

Grokking Deep Learning

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منتج #: 12102766

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Grokking Deep Learning teaches you to build deep learning neural networks from scratch!
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User-Friendly Approach
Grokking Deep Learning simplifies complex concepts through intuitive explanations and visual aids, making deep learning accessible to beginners and non-experts.
Hands-On Learning
The book emphasizes practical applications and includes coding exercises that empower readers to implement deep learning techniques effectively and confidently.
Comprehensive Coverage
It offers an extensive overview of deep learning topics, ensuring readers gain a solid foundation and understanding of advanced techniques and their real-world applications.

تفاصيل المنتج

Shop Grokking Deep Learning online at a best price in Libya. 1617293709
  • Introduces Artificial Intelligence and Deep Learning as revolutionary technologies
  • Explains the behavior of neural networks based on human brains
  • Suitable for readers with high school-level math and intermediate programming skills
  • Covers building neural networks for image recognition, language translation, and gaming
  • Provides insights into the impact of Deep Learning on various industries
  • Includes guidance on understanding algorithms and the principles of Deep Learning
Publisher Manning
Publication date January 25, 2019
Edition First Edition
Language English
Print length 336 pages
ISBN-10 1617293709
ISBN-13 978-1617293702
Item Weight 1.26 pounds (570 grams)
Dimensions 7.38 x 0.7 x 9.25 inches (18.7 x 1.8 x 23.5 cm)

من يجب أن يشتري؟

Suitable For
  • Beginners in AI

    Ideal for individuals new to artificial intelligence concepts and looking for an accessible introduction to deep learning.

  • Self-Learners

    Great for those pursuing independent study and seek practical examples to understand deep learning applications.

  • Educators

    Useful resource for teachers wanting to introduce deep learning concepts in an engaging and comprehensible manner.

Not Suitable For
  • Advanced Practitioners

    Not suitable for experienced professionals who require in-depth content or advanced technical discussions on deep learning.

وصف المنتج

Grokking Deep Learning

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أسئلة العملاء & الإجابات

  • سؤال: What topics are covered in Grokking Deep Learning First Edition?

    إجابه: Grokking Deep Learning First Edition delves into essential subjects such as neural networks, backpropagation, and deep learning frameworks. It employs intuition-driven explanations and practical examples, making complex theories accessible. The book is ideal for beginners seeking to understand deep learning concepts as it illustrates how to build, train, and deploy neural networks using hands-on coding exercises.
  • سؤال: Who is the author of Grokking Deep Learning First Edition?

    إجابه: Grokking Deep Learning First Edition is authored by Andrew Trask, a recognized expert in artificial intelligence and deep learning. Trask’s approachable writing style simplifies sophisticated topics and provides clarity for those new to the field. His experience in teaching and research in deep learning underpins the book's innovative and engaging pedagogical approach, making it a valuable resource.
  • سؤال: Is Grokking Deep Learning First Edition suitable for beginners?

    إجابه: Yes, Grokking Deep Learning First Edition is particularly designed for individuals new to deep learning. It breaks down complex concepts into digestible parts, using intuitive analogies and real-world examples. Whether you are a student, professional, or hobbyist, the book equips you with foundational knowledge, guiding you through coding exercises to help reinforce your learning effectively.
  • سؤال: What coding languages are used in Grokking Deep Learning First Edition?

    إجابه: The book primarily uses Python and the TensorFlow library to showcase deep learning techniques. Python’s simplicity and popularity in the data science community make it an ideal choice for learners. By working with TensorFlow, readers can build and train models while grasping the underlying principles, providing practical experience that is directly applicable to real-world projects.
  • سؤال: Does Grokking Deep Learning First Edition include practical exercises?

    إجابه: Absolutely, Grokking Deep Learning First Edition is packed with practical coding exercises designed to solidify understanding of deep learning concepts. Each chapter features hands-on projects that allow readers to apply what they've learned in real scenarios, which enhances their coding skills. This practical approach prepares readers to tackle actual deep learning problems they may encounter in their careers or studies.
  • سؤال: Can I apply concepts learned from Grokking Deep Learning First Edition to real-world projects?

    إجابه: Yes, the concepts from Grokking Deep Learning First Edition are directly applicable to real-world projects. The knowledge gained can be used in fields such as image recognition, natural language processing, and more. By working through the practical exercises, you'll be well-equipped to implement deep learning solutions in various industries, making it a useful resource for aspiring professionals in tech.
  • سؤال: Are there any prerequisites for reading Grokking Deep Learning First Edition?

    إجابه: While no extensive background in machine learning is required, a basic understanding of programming (preferably Python) and some familiarity with mathematical concepts like calculus and linear algebra can enhance your learning experience. The book gradually introduces more advanced topics, so even if you are relatively new to these concepts, you can still progress effectively through the material.
  • سؤال: How does Grokking Deep Learning First Edition differ from other deep learning books?

    إجابه: Grokking Deep Learning First Edition distinguishes itself with its focus on intuition and clarity. While many deep learning texts can be dense and theoretical, this book prioritizes a visual and interactive approach. It aims to cultivate a solid conceptual understanding, allowing learners to grasp the 'why' behind techniques, making it particularly engaging for those new to the field.
  • سؤال: Is there a digital version of Grokking Deep Learning First Edition available?

    إجابه: Yes, Grokking Deep Learning First Edition is available in both print and digital formats. The digital version allows for convenient reading on various devices, making it accessible anytime, anywhere. This flexibility makes it easier for learners to engage with the material, especially when on the go or while working on projects, thus enhancing the overall learning experience.
  • سؤال: Where can I buy Grokking Deep Learning First Edition in Libya?

    إجابه: You can buy Grokking Deep Learning First Edition in Libya through Ubuy. This platform offers a variety of options for purchasing books and ensures a streamlined shopping experience with various payment methods. Ubuy provides reliable access to a wide range of products, including popular tech and coding resources like this book, making it easy to find and acquire.

Neural Networks Editorial Review

Andrew W. Trask's "Grokking Deep Learning" is a great introduction to deep learning for people who want to learn the basics. His writing is clear and easy to understand, and he covers several known issues with deep learning while providing many useful examples. While not the best book for people with a Ph.D. in mathematics, it's a perfect starting point for beginners who want to get hands-on experience with implementing neural networks. However, the book has several syntax and coding issues that are easy to detect by a trained eye but not as easy for a novice learner. Overall, the methodology for developing the deep networks and understanding them are there, but the examples chosen can be ridiculous.

مراجعات العملاء وتقييماتهم

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إيجابيات

  • Easy to read
  • Hands-on approach to implementing neural networks
  • Provides guidance on next steps
  • Clear explanations

سلبيات

  • Typographical errors throughout the book

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المميزات والفوائد

  • Learn to build deep learning neural networks from scratch
  • Teaches you the science behind neural network training
  • Only uses Python and NumPy library
  • Suitable for readers with high school-level math and intermediate programming skills
  • Includes a free eBook with the purchase of print book
  • Introduces readers to federated learning

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