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  • RALSTON ALMEIDA thinks this is interesting:

Deep learning has emerged in the last few years as a premier technology for building intelligent systems that learn from data. Deep neural networks, originally roughly inspired by how the human brain learns, are trained with large amounts of data to solve complex tasks with unprecedented accuracy. With open source frameworks making this technology widely available, it is becoming a must-know for anybody involved with big data and machine learning.

From

Cover of Learning TensorFlow
  • Preface
  • from Learning TensorFlow
  • by Itay Lieder, Yehezkel S. Resheff, Tom Hope
  • Publisher: O'Reilly Media, Inc.
  • Released: August 2017

Note

Overview of Deep Learning Concept Target Audience description Building models for computer vision and NLP Scaling it up with queuing and multithreading, training on clusters and serving output in production.