Giter Club home page Giter Club logo

tensorflow-practice's Introduction

Learning tensorflow by just one example for beginners.

This project was designed for learning tensorflow by just one example for beginners. More specifically, it's aimmed to achive the goal as follows:

  • Understanding the key concepts of addressing compuation in tensorflow
  • Implementing your machine learning, especially deep learning, model using this concepts.
  • Learn to debug the problem and optimize the program under the tensorflow framework.

In order to achive this goal, I play attention on a pratical task and dig deep it instead of a wide of examples. By this way, I want to share the process of doing my research or task, and hope to help beginners to build a overview of modeling the machine learning problem using tensorflow.

This project choice face recongnition problem as the task, actually face verification model. The model was trained on the CASIA-WEBFACE and tested on the LFW. More details about the dataset are here.

The project can be logically divided into three parts of different levels.

  • the key concepts of tensorflow program and components that constitude the model were introduced.
  • a basic model taking advantages of both the key concepts and compoents was implemented and the softmax loss was used to learn the feature.
  • the optimization was made to improve the basic model as far as both training speed and test accuracy were concerned.
    • data management and multi-gpu were utilized to speed up the training
    • a more powerful network and new loss called Large Margin Cosine Loss were used to improve the accuracy.

Table of Contents

  1. Introduction

  2. The key concepts

  3. Components

  4. Work togother

  5. Optimization

How to debug your tensorflow program

A Practical Guide for Debugging TensorFlow Codes

FAQ

Please look here.

References

  1. TensorFlow Examples
  2. Effective Tensorflow
  3. Tensorflow sphereface
  4. tensorflow cookbook
  5. tensorflow sphereface

tensorflow-practice's People

Contributors

yule-li avatar yuzhile avatar

Watchers

James Cloos avatar JiaRunYing avatar

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.