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Grokking Deep Learning
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Grokking Deep Learning teaches you to build deep learning neural networks from scratch!
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What Stands Out
Product Details
- 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) |
Who Should Buy?
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Beginners in AI
Ideal for individuals new to artificial intelligence concepts and looking for an accessible introduction to deep learning.
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Self-Learners
Great for those pursuing independent study and seek practical examples to understand deep learning applications.
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Educators
Useful resource for teachers wanting to introduce deep learning concepts in an engaging and comprehensible manner.
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Advanced Practitioners
Not suitable for experienced professionals who require in-depth content or advanced technical discussions on deep learning.
Product Description
Grokking Deep Learning
Product Buying Guide
Artificial Intelligence and Deep Learning are revolutionizing industries worldwide. The Grokking Deep Learning First Edition is a comprehensive guide to understanding and implementing Deep Learning, making it an essential resource for tech enthusiasts, programmers, and AI enthusiasts with high school-level math and intermediate programming skills.
Product Specifications
- Title: Grokking Deep Learning First Edition
- Publisher: Manning Publications
- Author: Andrew W. Trask
- Language: English
- Paperback: 336 pages
- ISBN-10: 1617293709
- ISBN-13: 978-1617293702
Key Features
- Clear explanation of neural networks and their learning processes
- Building neural networks for image recognition and natural language translation
- Implementing neural networks for playing video games
- Designed for readers with high school-level math and intermediate programming skills
Usage Scenarios
- Individuals interested in understanding the fundamentals of Deep Learning
- Programmers looking to implement neural networks for various applications
- AI enthusiasts aiming to expand their knowledge and practical skills in Deep Learning
Usage Scenarios
The Grokking Deep Learning First Edition competes with other popular deep learning books available in the market.
Some User Review
- The book is a great introduction to deep learning concepts. The author's approach makes complex topics easy to understand.
- I found the practical examples and exercises extremely helpful for learning and implementing neural networks.
- As a beginner in deep learning, I appreciate the clear language and step-by-step explanations provided in the book.
Competitors
- When comparing the price of the Grokking Deep Learning First Edition with similar books on deep learning, it is competitively priced considering the comprehensive content and practical approach it offers.
Buying Considerations
- Consider the level of understanding of deep learning concepts and the practical implementation approach required
- Evaluate the existing math and programming skills to ensure readiness for the content covered in the book
- Check for any bundle offers or additional resources provided with the book for added value
Conclusion
The Grokking Deep Learning First Edition is an invaluable resource for anyone looking to gain a practical understanding of deep learning concepts and implementation. With its clear explanations and hands-on approach, readers can grasp complex neural network concepts with ease and build applications for various real-world scenarios.
View LessArtificial Intelligence and Deep Learning are revolutionizing industries worldwide. The Grokking Deep Learning First Edition is a comprehensive guide to understanding and implementing Deep Learning, making it an essential resource for tech enthusiasts, programmers, and AI enthusiasts with high school-level math and intermediate programming skills. Continue Reading
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Neural Networks Editorial Review
Grokking Deep Learning is a comprehensive guide that serves as an excellent primer for understanding the fundamentals of machine learning, as presented by Andrew W. Trask. The book is particularly praised for its accessible approach to complex concepts, making it suitable for those without a strong mathematics background. It contains practical examples, code snippets, and visuals to facilitate learning. According to various reviews, readers appreciate the hands-on approach to implementing neural networks and the clear explanations that help build a solid foundation in deep learning. While some minor typographical errors are noted, they do not detract significantly from the overall quality of this well-structured text.
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Pros
- Easy to read and understand for beginners
- Hands-on approach to implementing neural networks
- Includes guidance on popular AI libraries like Numpy
- Covers essential deep learning concepts clearly
- Provides good next steps for further learning
Cons
- Some minor typographical errors throughout the book
Product Price History
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Features & Benefits
- 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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