https://github.com/andresin87/nnjs

Neural networks in JavaScript
https://github.com/andresin87/nnjs

Last synced: 21 days ago
JSON representation

Neural networks in JavaScript

• Host: GitHub
• URL: https://github.com/andresin87/nnjs
• Owner: andresin87
• Created: 2019-01-08T17:39:51.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2019-01-09T07:23:47.000Z (about 6 years ago)
• Last Synced: 2024-12-04T04:42:49.105Z (3 months ago)
• Language: JavaScript
• Size: 29.3 KB
• Stars: 0
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# NNJS

Neural networks in JavaScript

https://scrimba.com/g/gneuralnetworks

## Info

A fun and practical introduction to Brain.js. This 19-part course teaches you how to build your own neural networks through a mix of lectures and interactive tutorials.

1. Course Introduction.

2. Our first neural net!

3. How to learn – Propagation.

4. How to learn – Structure.

5. How to learn – Layers.

6. Working with objects.

7. Learning more than numbers.

8. Example: Counter.

9. Normalization.

10. Example. Stock price predictor.

11. Predicting multiple steps.

12. Example. A recurrent neural network.

13. Example. Number detector.

14. Example. Writing a children's book.

15. Example. Sentiment Detection.

16. RNN inputs and outputs.

17. Example. Simple reinforcement learning.

18. Example. Recommendation engine.

19. Closing thoughts.

#### The most interactive neural network course ever created

This course gives you a practical introduction to Brain.js, a popular JavaScript library for building neural networks in the browser and in Node.js. And since this is Scrimba, you'll be able to interact with the neural networks whenever you want. Simply pause the screencast, edit the code and run the network with your own changes applied. Learning machine learning has never been as interactive as this!

**What you'll learn**

By the end of the course, you'll be able to solve a range of different problems using neural networks. The lectures does not dwell with much theory, but rather on how to code the networks. That means the course is suitable for anybody who knows JavaScript. 

Here are some of the amazing projects you'll learn to build:

- XOR gate

- Counter

- Basic math network

- Image recognizer

- Sentiment analyzer

- Recommendation engine

- Children's book creator

**About Robert Plummer**

Robert is the lead developer of the Brain.js library. He has a unique ability to explain complex concepts in a manner that everyone can understand. Feel free to reach out to [Robert via Twitter](https://twitter.com/robertlplummer) if you have feedback, or simply want to thank him for creating this course.

Good luck, and welcome to the exciting world of neural networks!