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Hands-On Neural Networks

You're reading from   Hands-On Neural Networks Learn how to build and train your first neural network model using Python

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781788992596
Length 280 pages
Edition 1st Edition
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Authors (2):
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Leonardo De Marchi Leonardo De Marchi
Author Profile Icon Leonardo De Marchi
Leonardo De Marchi
Laura Mitchell Laura Mitchell
Author Profile Icon Laura Mitchell
Laura Mitchell
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Toc

Table of Contents (16) Chapters Close

Preface 1. Section 1: Getting Started FREE CHAPTER
2. Getting Started with Supervised Learning 3. Neural Network Fundamentals 4. Section 2: Deep Learning Applications
5. Convolutional Neural Networks for Image Processing 6. Exploiting Text Embedding 7. Working with RNNs 8. Reusing Neural Networks with Transfer Learning 9. Section 3: Advanced Applications
10. Working with Generative Algorithms 11. Implementing Autoencoders 12. Deep Belief Networks 13. Reinforcement Learning 14. Whats Next? 15. Other Books You May Enjoy

Artificial general intelligence

Artificial general intelligence (AGI) is the ability of a machine to successfully perform any given intellectual task that humans can perform.

If we buy in to the theory that animals, and therefore humans as well, are biological machines, there is no reason to believe an artificial machine could not surpass our computational capabilities relatively soon. Our species' intellectual growth to develop requires much longer than the growth that is required from a machine. It seems just a question of time for machines to catch up and overtake us.

At the moment, we seem pretty far away from AGI, preferring a type of intelligence that is specific to each single task it's required to solve. The most promising field for AGI seems to be RL, where we are now seeing algorithms that can solve different tasks (such as successfully solving different video...

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