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Item #:
10396920
Deep Learning with Python
89% of respondents would recommend this to a friend
Item #:
10396920
ETB 4646
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Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.
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What Stands Out
Comprehensive Coverage
Covers deep learning essentials, from basic concepts to advanced techniques, ensuring both beginners and experienced practitioners gain in-depth knowledge and practical insights.
Hands-On Examples
Includes practical code examples and projects, allowing readers to apply theories and enhance their skills effectively through real-world applications.
Structured Learning Path
Organized in a clear, logical manner, guiding readers step-by-step through complex topics, making deep learning more accessible and manageable.
Product Details
- Introduction to deep learning using Python and the Keras library
- Written by Keras creator and Google AI researcher François Chollet
- Print book purchase includes a free eBook in PDF, Kindle, and ePub formats
- Covers deep learning concepts, computer vision, natural-language processing, and generative models
- Targeted at readers with intermediate Python skills, no previous experience with Keras, Tensor Flow, or machine learning required
- Useful for data scientists, machine-learning engineers, software developers, and college students
| Publisher | Manning Publications |
| Publication date | 17 Jan. 2018 |
| Edition | 1st |
| Language | English |
| Print length | 384 pages |
| ISBN-10 | 9781617294433 |
| ISBN-13 | 978-1617294433 |
| Item weight | 644 g |
| Dimensions | 18.75 x 2.03 x 23.5 cm |
Who Should Buy?
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Beginners in AI
Ideal for newcomers to deep learning, providing foundational knowledge and practical examples using Python.
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Data Science Students
Perfect for data science students seeking to enhance their machine learning skills with hands-on deep learning applications.
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Developers and Programmers
Useful for developers looking to implement deep learning techniques in their projects while leveraging Python's capabilities.
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Advanced Researchers
May lack the depth needed for advanced researchers focusing on cutting-edge deep learning theories and practices.
Product Description
About This Item
Unlock the power of deep learning with "Deep Learning with Python First Edition." This comprehensive guide is a must-have for anyone looking to dive into the world of artificial intelligence and machine learning using the Python programming language. Whether you're a beginner or a seasoned programmer, this book offers a step-by-step approach to understanding and implementing deep learning algorithms. With a focus on practical examples and real-world applications, you'll learn how to build and train neural networks, analyze and preprocess data, and apply deep learning techniques to solve complex problems. "Deep Learning with Python First Edition" covers a wide range of topics, including the fundamentals of deep learning, popular deep learning libraries and frameworks, and advanced techniques for improving model performance. With easy-to-follow explanations and code samples, you'll be able to quickly grasp the concepts and start building your own deep learning models. Featuring chapters on image recognition, natural language processing, and reinforcement learning, this book equips you with the knowledge and skills needed to tackle a variety of AI projects.
The author, a renowned expert in the field, provides insights and best practices that will help you navigate the challenges of deep learning and achieve impressive results. Whether you're interested in Python programming, data science, or AI development, "Deep Learning with Python First Edition" has something for everyone. Take your understanding of deep learning to the next level and unleash the full potential of Python for AI and machine learning projects. Don't miss out on this invaluable resource. Get your copy of "Deep Learning with Python First Edition" now and embark on an exciting journey into the world of deep learning and artificial intelligence.
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AI & Machine Learning Editorial Review
Deep Learning With Python offers a practical approach to understanding deep learning concepts and implementations using Python and Keras. Published by Manning Publications, this 384-page book was released on January 17, 2018, and features clear explanations that make intricate topics accessible, particularly for those with programming knowledge. Readers emphasize its effectiveness in conveying complex ideas without overwhelming them with mathematics, making it suitable for beginners and experienced programmers alike. Those familiar with Python will find the real code examples valuable for hands-on learning, allowing them to explore deep learning applications in image and text processing. The author's engaging writing style and practical focus make it a recommended start for anyone looking to dive into the field of deep learning.
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Pros
- Practical and hands-on approach to deep learning
- Clear, concise explanations without excessive theory
- Real Python/Keras examples for practical learning
- Suitable for beginners with basic Python knowledge
- Compact size allows easy reading anywhere
Cons
- Minor focus on theoretical concepts may leave some wanting more
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ETB 4646
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Features & Benefits
- Introduces deep learning using Python
- Written by Keras creator and Google AI researcher François Chollet
- Explores image and text classification, as well as generative models
- Includes practical examples and challenging concepts
- Suitable for readers with intermediate Python skills
- Print book purchase includes free eBook in multiple formats
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