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Deep Learning: A Visual Approach
90% of respondents would recommend this to a friend
XOF 51060
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Deep Learning: A Visual Approach offers visual and conceptual explanations instead of equations to learn key deep learning algorithms without the need for complex math.
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What Stands Out
Product Details
- Accessible and highly-illustrated introduction to deep learning
- Offers visual and conceptual explanations instead of equations
- Covers key deep learning algorithms without complex math
- Explains deep learning's role in various applications such as digital assistants, automotive systems, and online platforms
- Provides conversational style, extensive color illustrations, illuminating analogies, and real-world examples
- Authored by Dr. Andrew Glassner, a Senior Research Scientist at Weta Digital
| Publisher | No Starch Press |
| Publication date | June 29, 2021 |
| Edition | Illustrated |
| Language | English |
| Print length | 768 pages |
| ISBN-10 | 1718500726 |
| ISBN-13 | 978-1718500723 |
| Item Weight | 3.85 pounds (1.75 kg) |
| Dimensions | 7.01 x 1.57 x 9.25 inches (17.8 x 4 x 23.5 cm) |
Who Should Buy?
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Visual Learners
Individuals who grasp concepts better with visuals will benefit from the illustrated approach to deep learning topics.
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Beginners in AI
Newcomers to artificial intelligence will find clear explanations and visual aids helpful for understanding complex concepts.
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Educators and Trainers
Teachers and trainers can use the visual-rich content to engage students and facilitate easier comprehension of deep learning.
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Experienced Practitioners
Those with extensive knowledge may find the content too basic and not sufficiently challenging or detailed.
Product Description
Deep Learning: A Visual Approach
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Neural Networks Editorial Review
Deep Learning: A Visual Approach Illustrated Edition is a 700-page book that offers a visual and conceptual approach to deep learning, promising to avoid equations that make it difficult for people to understand. The book can be Considered a journey from the basics of mathematics to advanced deep learning techniques, making it an excellent introduction to deep learning for beginners. The book is well-illustrated, and the colorful design makes it a joy to look at. The book is written in a playful and somewhat quirky style that captures the readers' attention, which makes it enjoyable to read. The author divided the book into chapters that build the reader's knowledge, allowing them to understand the most advanced deep learning techniques. The book comes with some Cons. A few customers were disappointed with the book's delivery not meeting the seller’s description, with the book being printed in black and white. There were also complaints about the book taking too long before getting to the subject of deep learning. Half the book's high cost paid by the reader is on something they don't need or don't understand, according to a customer.
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Pros
- -Colorful and well-illustrated design -A good introductory book to deep learning -Interesting and enjoyable writing style -No complex equations
Cons
- -Disappointing delivery not meeting description -Too long basic concept chapters -Wrongly advertised product printing in black and white
Product Price History
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Features & Benefits
- An accessible, highly-illustrated introduction to deep learning
- Learn key deep learning algorithms without complex math equations
- Digital assistants, automotives systems, and online platform uses deep learning
- Covers topics like text generators, image classification, and machine learning techniques that form the core of modern AI
- Conversational style, color illustrations, analogies and real-world examples to help understand the key concepts
- Allows you to envision the future of AI and build intelligent systems that help us understand the world better
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