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185824981
Inside Deep Learning: Math, Algorithms, Models
Item #:
185824981
DKK 663
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Inside Deep Learning is an accessible guide to implementing deep learning with the PyTorch framework. It demystifies complex deep learning concepts and teaches you to understand the vocabulary of deep learning so you can keep pace in a rapidly evolving field.
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What Stands Out
Comprehensive Coverage
This book offers an in-depth exploration of deep learning, covering essential math, algorithms, and models, making it suitable for both beginners and advanced practitioners seeking to deepen their understanding.
Practical Applications
Real-world examples and case studies illustrate how deep learning techniques can be applied across various fields, helping readers gain practical insights into solving complex problems effectively.
Accessible Learning
Written in an engaging style, this resource simplifies complex concepts in deep learning, ensuring that readers can grasp the material easily, thus enhancing their learning experience and expertise.
Product Details
| Publisher | Manning Publications |
| Publication date | 27 Jun. 2022 |
| Edition | 1st |
| Language | English |
| Print length | 425 pages |
| ISBN-10 | 1617298638 |
| ISBN-13 | 978-1617298639 |
| Item weight | 907 g |
| Dimensions | 18.73 x 4.06 x 23.5 cm |
Who Should Buy?
-
Students of AI
Ideal for university students seeking to understand deep learning foundations, algorithms, and mathematical concepts thoroughly.
-
Data Scientists
Provides data scientists with practical skills and theoretical knowledge necessary for implementing deep learning models effectively.
-
Developers Transitioning
Perfect for software developers transitioning into AI, offering essential insights into deep learning methodologies and applications.
-
Casual Learners
Not suitable for casual learners seeking quick insights without extensive mathematical background or deep learning experience.
Product Description
Inside Deep Learning: Math, Algorithms, Models
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Higher Education Editorial Review
Inside Deep Learning: Math, Algorithms, Models is a comprehensive guide published by Manning Publications that delves into the intricacies of deep learning. The book, with its 425 pages, provides a thorough exploration of mathematical concepts and algorithms that underpin deep learning models. Published on June 27, 2022, this first edition aims to equip readers with a solid foundation in both theoretical and practical aspects of deep learning. With clear explanations and real-world examples, readers can enhance their understanding and application in various fields. This resource is ideal for both beginners and seasoned professionals looking to deepen their knowledge in deep learning.
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Pros
- Comprehensive deep learning resource for all levels
- Covers essential math and algorithms thoroughly
- Includes real-world examples for practical understanding
- Well-structured content enhances learning experience
- Published by a reputable publisher known for quality
Cons
- May require foundational knowledge of machine learning
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DKK 663
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Features & Benefits
- Learn how to implement deep learning with PyTorch
- Understand deep learning terminology
- Fine-tune deep learning models to maximize performance
- Adapt existing PyTorch code to solve new problems
- Accessible guide to implement deep learning with PyTorch
- Teaches to understand the vocabulary of deep learning
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