https://github.com/francesco-mannella/neunet-basics

Basic knowledge on neural networks in python
https://github.com/francesco-mannella/neunet-basics

Last synced: about 1 month ago
JSON representation

Basic knowledge on neural networks in python

• Host: GitHub
• URL: https://github.com/francesco-mannella/neunet-basics
• Owner: francesco-mannella
• License: mit
• Created: 2015-10-08T07:13:19.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2017-05-22T11:33:19.000Z (over 7 years ago)
• Last Synced: 2024-11-07T09:24:00.127Z (3 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 36.9 MB
• Stars: 0
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# neunet-basics

## Getting started with neural networks in python

This site is a short tour through classic neural networks and how to implement them using python. We will use the MNIST dataset of handwriting digits as a tool to explain the functioning of all network presented.

* [The MNIST dataset](http://nbviewer.ipython.org/github/francesco-mannella/neunet-basics/blob/master/course/mnist.ipynb)

* [Perceptrons](http://nbviewer.ipython.org/github/francesco-mannella/neunet-basics/blob/master/course/perceptron.ipynb)

* [Hopfield networks](http://nbviewer.ipython.org/github/francesco-mannella/neunet-basics/blob/master/course/hopfield.ipynb)