Deep Learning with TensorFlow: Explore neural networks with Python

Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of this comprehensive TensorFlow guide

About This Book

  • Learn how to implement advanced techniques in deep learning with Google’s brainchild, TensorFlow
  • Explore deep neural networks and layers of data abstraction with the help of this comprehensive guide
  • Real-world contextualization through some deep learning problems concerning research and application

Who This Book Is 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.

What You Will Learn

  • Learn about machine learning landscapes along with the historical development and progress of deep learning
  • Learn about deep machine intelligence and GPU computing with the latest TensorFlow 1.x
  • Access public datasets and utilize them using TensorFlow to load, process, and transform data
  • Use TensorFlow on real-world datasets, including images, text, and more
  • Learn how to evaluate the performance of your deep learning models
  • Using deep learning for scalable object detection and mobile computing
  • Train machines quickly to learn from data by exploring reinforcement learning techniques
  • Explore active areas of deep learning research and applications

Book details

  • Publisher:Packt Publishing - ebooks Account
  • Publication date:April 24, 2017
  • ISBN-10:1786469782
  • ISBN-13:978-1786469786
  • Pages:320 pages
  • Format:mobi
  • Size:14.36Mb
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