『Deep Learning with Python』のカバーアート

Deep Learning with Python

Guide for Beginners and Intermediates "Learn by Doing Approach": The Future Is Here! Keras with Tensorflow Back End

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Deep Learning with Python

著者: William Sullivan
ナレーター: Sam Slydell
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Deep learning originates from a broader family of machine learning, including supervised and unsupervised learning.

The Python programming language is one of the most popular languages for programmers in the 21st century. This programming language has been a fundamental cornerstone in a lot of technology based on things we take for granted on a daily basis. It has been used for developing both desktop and web applications and has been used to accomplish many artificial intelligence feats.

The world is constantly changing and evolving, and it appears machine learning could be the way of the future! As we speak, technology on a massive scale is being developed to replace mundane and repetitive tasks humans interface with every day through the use of "deep learning". Ultimately, this means less human error and more efficient ways of operating for many corporations.

You can potentially become the next big start-up! Develop software, web-development tools, and many more online ventures!

Companies that use Python currently:

  • Google
  • Facebook
  • Dropbox
  • Yahoo
  • IBM
  • Mozilla
  • Quora

Why do programmers choose to use Python?

  • Readable and maintainable code
  • Dynamic type system
  • Compatible with major platforms and systems
  • Robust standard library
  • Simplifies complex software development
  • Test-driven development
  • Highly sought-after skill set for employers

Invest in your knowledge base by buying your copy right now. The greatest investment you can make is an investment in yourself! Python will pave the road of technological advancements and very much shape the world in which we live. Become a part of this global progression toward advanced technology through the use of "deep learning".

What you'll learn:

  • What deep learning is
  • Theory of artificial neural network
  • Artificial neural network with Keras
  • Image classification with convolutional neural network
  • Environment setup
  • Natural language processing
  • Evaluating and tuning the ANN
  • Sequence modeling
  • And, much, much more!

By the end of this audiobook, you will have grasped the fundamentals of Python programming and deep learning! There are also illustrations to go along to help you understand and retain the info on a much more profound level. Picture diagrams have scientifically proven to accelerate the learning process by more than 120 percent!

Become an intermediate or pro in no time.

Buy your copy right now.

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2018 Healthy Pragmatic Solutions Inc. (P)2018 Healthy Pragmatic Solutions Inc.
オートメーション・ロボット工学 工学
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