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