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Hands-On Deep Learning Architectures with Python

You're reading from  Hands-On Deep Learning Architectures with Python

Product type Book
Published in Apr 2019
Publisher Packt
ISBN-13 9781788998086
Pages 316 pages
Edition 1st Edition
Languages
Authors (2):
Yuxi (Hayden) Liu Yuxi (Hayden) Liu
Profile icon Yuxi (Hayden) Liu
Saransh Mehta Saransh Mehta
Profile icon Saransh Mehta
View More author details
Toc

Table of Contents (15) Chapters close

Preface 1. Section 1: The Elements of Deep Learning
2. Getting Started with Deep Learning 3. Deep Feedforward Networks 4. Restricted Boltzmann Machines and Autoencoders 5. Section 2: Convolutional Neural Networks
6. CNN Architecture 7. Mobile Neural Networks and CNNs 8. Section 3: Sequence Modeling
9. Recurrent Neural Networks 10. Section 4: Generative Adversarial Networks (GANs)
11. Generative Adversarial Networks 12. Section 5: The Future of Deep Learning and Advanced Artificial Intelligence
13. New Trends of Deep Learning 14. Other Books You May Enjoy

Artificial intelligence

Ever since the beginning of the computer era, humans have been trying to mimic the brain into the machine. Researchers have been developing methods that would make machines not only compute but also decide like we humans do. This quest of ours gave birth to artificial intelligence around the 1960s. By definition, artificial intelligence means developing systems that are capable of accomplishing tasks without a human explicitly programming every decision. In 1956, the first program for playing checkers was written by Arthur Samuel. Since then, researchers tried to mimic human intelligence by defining sets of handwritten rules that didn't involve any learning. Artificial intelligence programs, which played games such as chess, were nothing but sets of manually defined moves and strategies. In 1959, Arthur Samuel coined the term machine...

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