Chapter 1. Neural search

Chapter 1 from Deep Learning for Search by Tommaso Teofili

This chapter covers

A gentle introduction to search fundamentals
Important problems in search
Why neural networks can help search engines be more effective

Suppose you want to learn something about the latest research breakthroughs in artificial intelligence. What will you do to find information? How much time and work does it take to get the facts you’re looking for? If you’re in a (huge) library, you can ask the librarian what books are available on the topic, and they will probably point you to a few they know about. Ideally, the librarian will suggest particular chapters to browse in each book.

1.1. Neural networks and deep learning

1.2. What is machine learning?

1.3. What deep learning can do for search

1.4. A roadmap for learning deep learning

Chapter 1. Neural search

1.1. Neural networks and deep learning

1.2. What is machine learning?

1.3. What deep learning can do for search

1.4. A roadmap for learning deep learning

1.5. Retrieving useful information

1.6. Unsolved problems

1.7. Opening the search engine black box

1.8. Deep learning to the rescue

1.9. Index, please meet neuron

1.10. Neural network training

1.11. The promises of neural search

Summary