Convolutional Neural Networks Guide To Algorithms, Artificial Neurons And Deep Learning: Introduction To Feedforward Neural Networks (Artificial Intelligence Book 2)

Convolutional Neural Networks Guide To Algorithms, Artificial Neurons And Deep Learning: Introduction To Feedforward Neural Networks (Artificial Intelligence Book 2)
Author
: William Sullivan
Publisher
:
Pages
: 46
Category
: Non Fiction : Writing
View On Amazon Description

Convolutional Neural Networks Guide To Algorithms, Artificial Neurons And Deep Learning




The very schemata of Convolutional Neural Networks and the technology behind it was inspired by our biological human brains!



Its a known fact that computers can store exponential amounts of information on their hard-drives. But our human brains have a set capacity and just cannot compete against technology on this front. However, our biological brains can outpace a computer in some other everyday functions we take for granted.



Engineers and scientist are discovering ways to model our human brains and integrate certain aspects of it to create what we know as "neural networks". In essence, replicate the fine tuning, inner complexities and intricacies the human brain possess.



In my book Convolutional Neural Networks Guide To Algorithms, Artifical Neurons And Deep Learning, you will learn the following concepts:


  • Fundamentals of neural networks

  • Intelligent Systems

  • Functioning of the feed-forward neural network

  • Back-propogation

  • Algorithms

  • And, much, much more!


  • You do not want to miss out on this incredible offer!




    Take this opportunity to learn about the next big innovation in technology, and real world applications of the next potential TRILLION dollar industry (artificial intelligence) that will take the world by storm.



    Other books easily retail for $50-$100+ and have far less quality content. This book is by far superior and exceeds any other book available



    ☆★☆ Buy your copy now! ☆★☆

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    *Note: For the best visual experience of diagrams it is highly recommend you purchase the paperback version*



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