Autograd, Optimization, Visualization

Table of contents

Tentative schedule

Link to Tentative schedule (Google sheets)

Materials table

Date Material 🎥 Readings Homework
01/17 Slides 🎥 Py3 HW0
01/19 Slides 🎥    
01/24 IPYNB 🎥 Py3  
01/26 Slides 🎥 PyD HW1
01/31 Slides 🎥 1  
  IPYNB   2  
      3  
02/01 Slides 🎥 4 HW2
02/07 Slides 🎥 5  
02/09 Slides 🎥 5  
02/14 Slides 🎥 5  
02/16 Slides 🎥 5  
02/21 Slides 🎥 5  
02/23 Slides 🎥 5  
02/28 Slides 🎥 5  
03/07 Slides 🎥 5  
03/09 Slides 🎥 6  
03/21 Slides 🎥 6  
03/23 Slides 🎥 8  

Material by week

Week 1: Introduction and Setup

Week 2: Python crashcourse

Week 3: Linear Models

Week 4: Perceptron

Week 5: Perceptron continued

Week 6: Autograd and review

Week 7: Multi Layer Perceptron

  • 03/02
    • Midterm exam

Week 8: Multi Layer Perceptron

Week 9: Probability and Machine Learning

Week 10: Pytorch

Week 11: CNN

  • 04/06
    • Midterm exam

Week 12: CNN

Week 13: Regularization

Week 14: