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Deep Learning Tutorial

Part Zero : Tool introduction

Programming languages

  • python
  • R

Project management

  • Github
  • Jupiter notebook

Framework

  • Tensorflow
  • Caffe

Get started with Tensorflow

  • Installation
  • "Hello world" in tensorflow
  • First trial on linear regression
  • MINST picture example

Part One : Math background

Introduce the math knowledge both theoretically and practically

  • Formalized syntax
  • Program in Python

Linear Algebra (Theory and Practice)

Probability theory (Theory and Practice)

Information theory (Theory)

Numeric theory (Theory)

Part Two : Machine Learning

Supervised Learning

  • Regression

    • Linear regression
  • Classification

    • Logistic regression
    • SVM

Unsupervised Learning

Part Three : Deep Learning