Grokking Deep Learning: A Practical Guide to Understanding and Implementing Deep Learning Concepts
Deep learning is a branch of machine learning that has seen rapid growth in recent years. It has been used to achieve state-of-the-art results in a wide range of tasks, including image recognition, natural language processing, and speech recognition.
4.4 out of 5
Language | : | English |
File size | : | 8440 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Enhanced typesetting | : | Enabled |
Print length | : | 336 pages |
However, deep learning can be a difficult concept to understand, especially for beginners. This is where Grokking Deep Learning comes in.
Grokking Deep Learning is a comprehensive guide to deep learning, written for beginners and experienced practitioners alike. The book covers the fundamental concepts of deep learning, such as neural networks, convolutional neural networks, recurrent neural networks, and generative adversarial networks. It also provides practical guidance on how to implement these concepts in code, using popular deep learning frameworks such as TensorFlow and Keras.
Grokking Deep Learning is a well-written and easy-to-follow book that will help you to understand the fundamental concepts of deep learning. It is a valuable resource for anyone who wants to learn more about this rapidly growing field.
What You'll Learn
- The fundamental concepts of deep learning
- How to implement deep learning concepts in code
- How to use popular deep learning frameworks such as TensorFlow and Keras
- How to apply deep learning to a variety of tasks, including image recognition, natural language processing, and speech recognition
Who This Book Is For
Grokking Deep Learning is written for beginners and experienced practitioners alike. It is a valuable resource for anyone who wants to learn more about deep learning.
If you are a beginner, this book will help you to understand the fundamental concepts of deep learning. If you are an experienced practitioner, this book will provide you with practical guidance on how to implement deep learning concepts in code.
About the Author
Andrew Trask is a machine learning engineer and author. He is the founder of Trask AI, a company that provides deep learning consulting and training services. Andrew has a PhD in computer science from the University of Toronto. He is also the author of the popular book Python Machine Learning.
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Grokking Deep Learning is available in print and eBook formats. You can Free Download your copy today from Our Book Library, Barnes & Noble, or your favorite bookstore.
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4.4 out of 5
Language | : | English |
File size | : | 8440 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Enhanced typesetting | : | Enabled |
Print length | : | 336 pages |
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4.4 out of 5
Language | : | English |
File size | : | 8440 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Enhanced typesetting | : | Enabled |
Print length | : | 336 pages |