Git Product home page Git Product logo

keras-workshop's Introduction

This repository provides supporting documents for an introduction to Keras workshop at Franceisai on Sep. 16, 2016.

Keras is an open-source Deep Learning framework written in Python. Learn more

The slides of the presentation are available as HTML in this repository or at https://gggdomi.github.io/keras-workshop/

After a very brief introduction to neural networks, we build in a few dozens of line an image classifier using Keras. The step-by-step process is available in the ready-to-run notebook.ipynb file (or the HTML version).

The workshop is based on François Chollet's blog post : Building powerful image classification models using very little data which provides a great example of the ease-of-use and readibility of Keras.

keras-workshop's People

Contributors

gggdomi avatar

Watchers

James Cloos avatar Nan Li avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.