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  • Deep Learning: Step-by-Step | A Sensible Guide Presenting the Concepts of Deep Learning with Real-World Examples

  • Machine Learning Series, Book 3
  • 著者: Matthew Harper
  • ナレーター: Matyas J.
  • 再生時間: 1 時間 51 分

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Deep Learning: Step-by-Step | A Sensible Guide Presenting the Concepts of Deep Learning with Real-World Examples

著者: Matthew Harper
ナレーター: Matyas J.
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無料体験終了後は月額¥1,500。いつでも退会できます。

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あらすじ・解説

Have you ever wondered how large corporations like Amazon, Google, Facebook, and Twitter know so much about you? Deep learning.  

Have you ever wondered how the same advertisements keep showing up wherever you go? Have you ever used Google Translate to communicate with someone who didn’t speak your language?

The reality is that deep learning and its predecessor, machine learning, has had a hand with all of it.

Anyone interested in the future would find deep learning to be a fascinating subject. This new and innovative form of computer science is already changing the way we live our lives in countless ways. It is the technology that is making things easier, faster, and more efficient. 

This audiobook will explain to you in simple layman’s terms the basic foundation and concept of deep learning and how it works. Here you’ll learn:

  • How deep learning came about and the basic concept behind it
  • The different aspects of deep learning
  • The different types of machine learning and what they are used for
  • Basic understanding of how it works
  • Several applications of the technology already in use today
  • What the future holds for you and deep learning

Through this audiobook, our goal is to guide you step-by-step to a better understanding of this amazing technology, so you can see how beneficial it will be and the impact it will have on all of us. Whether you’re just curious about it or you’re seriously considering launching into a new career with deep learning, it is definitely worth taking the time to listen to this audiobook. We hope it will enlighten you and better yet inspire you to dig for more precious gems of knowledge in the future.

©2018 Matthew Harper (P)2018 Matthew Harper

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