Giter Site home page Giter Site logo

deepest-debug-challenge's Introduction

Deepest Debug Challenge: can you squash them all?

WARNING: This model is implemented to NOT work correcly. DO NOT use this for your application. It will hurt you.

This is a quiz code for debugging a badly-implemented neural network.

The code runs fine and trains the model somehow, but not correctly.

You are given a task to fix all the bugs in the code.

This code is for Quest 2 of Deepest Season 5 Recruiting.

Updates

  • 12/05 It seems like the original description in the link above was not clear enough.
    Therefore, I rewrote some of the the descriptions just to make the requirements more clear.
    Please refer to this link: http://bit.ly/2ANdfMW
  • 12/12 If you fix all the bugs, only one epoch of training would be enough to get an accuracy of around 80%. Therefore, those who do not have any GPU, please feel free to tackle this problem. (In fact, I myself did not use any GPU till I finished designing this quest.)
  • 12/19 I found an unnecessary function in data_utils.py and deleted it. This change would have no effect on the applicants and the challenge itself. (It was kind of a test code written in my Jupyter notebook, and I accidentally copy-and-pasted it while I was making all the code into python files. My bad :/)

Usage

Use python >= 3.6.

  1. run python prepro.py to make data/prepro.npz, which is the data used to train and test the model.

  2. run python train.py to train and test the model.

deepest-debug-challenge's People

Contributors

soheeyang avatar

Stargazers

 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

Forkers

donghwanjang

deepest-debug-challenge's Issues

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.