Book Name: TensorFlow for Machine Intelligence: A Hands-On Introduction to Learning Algorithms
Author: Sam Abrahams, Danijar Hafner, Erik Erwitt, Ariel Scarpinelli
Publisher: Bleeding Edge Press
File size: 10.89 MB
File format: PDF
TensorFlow for Machine Intelligence: A Hands-On Introduction to Learning Algorithms Pdf Book Description:
A hands on introduction to learning algorithms TensorFlow, a popular library for machine learning, adopts the creation and community-engagement of available source, but gets the support, advice, and stability of a huge corporation. Due to its abundance of advantages, TensorFlow is suitable for people and companies which range from startups to businesses as big as, well, Google.
TensorFlow is presently being employed for natural language processing, artificial intelligence, computer vision, and predictive analytics. TensorFlow, open sourced into the general public from Google at November 2015, has been created to be more flexible, efficient, extensible, and portable. Computers of any size and shape can operate it, from smartphones All of the way around enormous computing clusters.
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