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Hands-On Neural Networks

You're reading from  Hands-On Neural Networks

Product type Book
Published in May 2019
Publisher Packt
ISBN-13 9781788992596
Pages 280 pages
Edition 1st Edition
Languages
Authors (2):
Leonardo De Marchi Leonardo De Marchi
Profile icon Leonardo De Marchi
Laura Mitchell Laura Mitchell
Profile icon Laura Mitchell
View More author details
Toc

Table of Contents (16) Chapters close

Preface 1. Section 1: Getting Started
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

Future of machine learning

Machine learning has the potential to improve almost every field of our society. Anywhere where learning, optimization, and decision-making are involved, there is a chance for machine learning to improve the current state of that particular field. With more recent technologies, such as GANs, more and more fields are going to opt for machine learning.

Some of the most promising research applications can be found in the following fields:

  • Drug discovery
  • Healthcare
  • Self-driving cars
  • Translation
  • Legal
  • Art:
A picture modified using transfer learning using a style from Asterix

Generative methods, such as GANs, are now being explored in drug discovery, potentially making the process much cheaper than it was earlier. In healthcare, deep learning methods are now able to automate a lot of visual diagnostic tasks, for example, radiologists' tasks.

By analyzing...

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