Giter Site home page Giter Site logo

ragavvenkatesan / yann Goto Github PK

View Code? Open in Web Editor NEW
41.0 5.0 27.0 315.96 MB

This toolbox is support material for the book on CNN (http://www.convolution.network).

Home Page: http://www.yann.network

License: Other

Python 13.46% MATLAB 0.08% Jupyter Notebook 86.46%
cnn yann theano toolboxes neural-network neuralnetwork neural-networks convolutional-neural-networks convolution generative-adversarial-network

yann's Introduction

yann: version 1.0rc1

  • An even easier, simpler and versatile CNN tool alternative to Lasagne and Keras.
  • Promotes easy learnability and practice of CNNs using theano.
  • Modular and plug and play modules and layers.
  • Implementations of most commonly used techniques and popular papers in CNN research.

MIT License at http://yann.readthedocs.io/en/latest/license.html Documentation at http://yann.readthedocs.io/en/latest/ Join the discussion at https://groups.google.com/forum/#!forum/yann-users Build Status Codecov Coverage Requirements Status Open Source Love

Originally written for personal research, this toolbox will be most useful for those who are interested in starting deep CNNs to make a fast transition into theano and developing CNNs. It was called samosa back then. Now yann has evolved into this toolbox for CNNs. Yann is designed as a supplement to an upcoming book on Convolutional Neural Networks and also the toolbox of choice for a graduatelevel deep learning course under developement at CIDSE ASU.

Because of this reason, Yann is specifically designed to be intuitive and easy to use for beginners. That does not compromise Yann of any of its features. It is still a good choice for a toolbox for running pre-trained models and build complicated, non-vannilla CNN architectures that are not easy to build with the other toolboxes.This will also be useful for industry when teting out prototypes.

There is a documentation page that has some details on how to run the code and how to use it. For a quick start into the toolbox, you can use this guide.

Thanks for using the code, hope you had fun. Ragav Venkatesan

http://www.ragav.net

yann's People

Contributors

amotupal avatar anchitagarwal avatar buddhapuneeth avatar gitter-badger avatar jordanrushing avatar kyrivanderpoel avatar vijetha1 avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar  avatar

yann's Issues

Name 'Preprocessing' is not defined in /yann/utils/datasets.py

While embarking through your quick-start documentation for YANN I encountered an issue with datasets.py when cooking the MNIST data from Skdata.

Attached is a screenshot featuring a python interpreter and the associated behavior of the cook_mnist() function included in datasets.py where the name 'preprocessing' appears undefined:

cook_mnist_issue

To note - the 'preprocessing' name is mentioned in a comment at the beginning of datasets.py

NameError: name 'cost' is not defined in /yann/network.py

While working through the quick-start documentation to gain more YANN knowledge for better test design I encountered an error with the function net.test()

I have a pull request ready to be created that will also fix misc. import issues that allow for net.cook() to work fully before calling net.train()

Below is a screenshot of the python interpreter trace and the source of the issue within network.py

net_train_nameerror

Need to redo readme and gh-pages.

Priority is to have detailed instructions on

  • Pr-requisites and their setup.
  • How to setup the code
  • How to set up various architectures.
  • How to run.

Second Priority is to come up with full dev level documentation using Sphinx.

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    ๐Ÿ–– 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. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

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 โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.