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Hands-On Deep Learning Architectures with Python: Create deep neural networks to solve computational problems using TensorFlow and Keras - Softcover
Synopsis
Concepts, tools, and techniques to explore deep learning architectures and methodologies
Key Features
- Explore advanced deep learning architectures using various datasets and frameworks
- Implement deep architectures for neural network models such as CNN, RNN, GAN, and many more
- Discover design patterns and different challenges for various deep learning architectures
Book Description
Deep learning architectures are composed of multilevel nonlinear operations that represent high-level abstractions; this allows...
About the Author
Yuxi (Hayden) Liu is an author of a series of machine learning books and an education enthusiast. His first book, the first edition of Python Machine Learning By Example, was a #1 bestseller on Amazon India in 2017 and 2018 and his other book R Deep Learning Projects, both published by Packt Publishing.
He is an experienced data scientist who is focused on developing machine learning and deep learning...
"About this title" may belong to another edition of this title.
- PublisherPackt Publishing
- Publication date2019
- ISBN 10 1788998081
- ISBN 13 9781788998086
- BindingPaperback
- LanguageEnglish
- Number of pages316
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Hands-On Deep Learning Architectures with Python: Create deep neural networks to solve computational problems using TensorFlow and Keras
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ISBN 13: 9781788998086
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Hands-On Deep Learning Architectures with Python
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Condition: New. This book explains the essential learning algorithms used for deep and shallow architectures. Packed with practical implementations to help you understand the concepts and ideas required to build efficient artificial intelligence systems, this book will hel. Seller Inventory # 448329802
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