Deep Learning : A Comprehensive Guide for Beginners

Do you want to enhance your Artificial Intelligence & Machine Learning Skills?

Are you sick and tired of boring and time consuming Deep Learning Books?

Have you tried endless other old styled books but nothing seems to work?

If so, then you’ve come to the right place.

Deep Learning: A Comprehensive Guide for Beginners

Now it’s time to go in Deep Learning in deeply.

Hello! Welcome to this comprehensive guide to deep learning for beginners. It’s possible that you’ve picked this up with some initial interest, but aren’t quite sure what to expect. In a nutshell, there has never been a more exciting time to learn and use deep learning techniques, and working in the field is only getting more rewarding. If you want to get up-to-speed with some of the more deep Learning techniques and gain experience using them to solve challenging problems, this is a good book for you!

Machine learning has made remarkable progress in recent years. We went from near-unusable speech and image recognition, to near-human accuracy. We went from machines that couldn’t beat a serious Go player, to defeating a world champion. Behind this progress is deep learning—a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications.

You will learn:

  • Machine Learning Basics
  • Applied Mathematics for Machine Learning
  • Fundamentals of Deep Learning
  • Natural Language Processing
  • Artificial Neural Networks & Deep Neural Networks

  • Applications: Natural Language Processing Software: This tool helps the computer to convert (understand) messages or text.

    Image Recognition Software: This tool enables the computer to search, sort, and segment for object detection.

  • And if you have a burning desire to enhance your knowledge in Deep Learning then scroll up and click “add to cart”

    Download your copy now so you can get started on what is promising to be a most amazing future.

    Copyright:© 2019 by Thomas Farth, All rights reserved.

Book details

  • Authors:Thomas Farth
  • Pages:49 pages
  • Format:azw3
  • Size:0.26Mb
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