Deep Learning with TensorFlow

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

• 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

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.

• 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