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Deep Learning and Artificial Intelligence: A Beginners' Guide to Neural Networks and Deep Learning

by John Slavio
Save 17% Save 17%
Current price ₹1,908.00
Original price ₹2,290.00
Original price ₹2,290.00
Original price ₹2,290.00
(-17%)
₹1,908.00
Current price ₹1,908.00

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Book cover type: Paperback
  • ISBN13: 9781922300256
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Abiprod Pty Ltd
  • Publisher Imprint: Abiprod Pty Ltd
  • Publication Date:
  • Pages: 78
  • Original Price: GBP 14.99
  • Language: English
  • Edition: N/A
  • Item Weight: 105 grams
  • BISAC Subject(s): Artificial Intelligence / General

Welcome to this book on Deep Learning and Neural Networks. We're going to be diving into what neural networks are, what the current neural networks out there do, with an API. Once we go over how everything works and how each of these new technologies work, we will go over the many different applications in general life and business.

There have been a lot of news stories about how there are going to be self-driving cars, machines that make their own products, and many other different applications of neural networks that make it sound like a vastly complicated machine. However, the tool of the neural network is a very simple tool. When you hear about the applications that are being created that utilize neural networks, you are actually hearing about the amount of work that went behind making a neural network do something that's complicated but not a complicated neural network. Neural networks are extremely easy to understand as you will find throughout this book but the problem is that people have made them look complicated. Therefore, let's go ahead and demystify this subject so that you can get into the field of neural networks yourself and have some fun.
Here's What's Included In This Book:

  • What are Neural Networks?
  • Biological Neural Networks
  • Artificial Neural Networks
  • Keras Model and Layers
  • Different Deep Learning Algorithms
  • Benefits of Neural Networks
  • Business Applications of Neural Networks

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