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

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