Deep Learning with TensorFlow
This book introduces the core concepts of deep learning. Get implementation and research details on cutting-edge architectures and apply advanced concepts to your own projects. Develop your knowledge of deep neural networks through hands-on model building and examples of real-world data collection.
Offered by
Difficulty Level
Intermediate
Completion Time
16h8m
Language
English
About Book
Who Is This Book For?
The book is for people interested in machine learning and machine intelligence. A rudimentary level of programming in one language is assumed, as is a basic familiarity with computer science techniques and technologies, including a basic awareness of computer hardware and algorithms. Some competence in mathematics is needed to the level of elementary linear algebra and calculus.
Deep Learning with TensorFlow
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 16h8m total length
Getting Started with Deep Learning
A First Look at TensorFlow
Feed-Forward Neural Networks with TensorFlow
Convolutional Neural Networks
Optimizing TensorFlow Autoencoders
Recurrent Neural Networks
Heterogeneous and Distributed Computing
Advanced TensorFlow Programming
Recommendation Systems using Factorization Machines
Reinforcement Learning
Related Resources
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