Deep Learning with TensorFlow
Machine learning is concerned with algorithms for transforming data into actionable intelligence and predictive analytics. Deep learning is a branch of machine learning based on multiple levels of representations. This book introduces the core concepts of deep learning using the latest version of TensorFlow to get implementation and research details on cutting-edge architectures. You will learn deep learning with the hands-on model building, data collection and transformation and even more!
Offered by
Difficulty Level
Intermediate
Completion Time
10h40m
Language
English
About Book
Who Is This Book For?
The book is intended for a general audience of 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 • 10h40m total length
Getting Started with Deep Learning
First look at Tensorflow: Session & Graphs
Using TensorFlow on a Feed Forward Neural Network
TensorFlow on a Convolutional Neural Network
Optimizing TensorFlow Autoencoders
Recurrent Neural Networks
GPU Computing
Advanced TensorFlow Programming
Advanced Multimedia Programming with TensorFlow
Reinforcement Learning
Related Resources
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