Haitao Chen Josh Lerner

TA session Python notebooks and other information will be uploaded here.

If you’d like to set up the environment on your own computer, please refer to the setup instructions.

TA Session # Week of Topic Resources Solutions
0 January 12 Introduction to python Workbook 0(ipynb)  
1 January 26 Classes and Objects Workbook 1(ipynb) Solution 1(ipynb)
2 February 2 Matplotlib and NumPy​ Workbook 2(ipynb) Solution 2(ipynb)
3 February 9​ Introduction to Image Filtering Workbook 3(ipynb) Solution 3(ipynb)
4 February 16​ Introduction to Deep Learning 1 Workbook 4(ipynb)  
5 February 23​ Introduction to Deep Learning 2 Workbook 5(ipynb)  
6 March 2​ PyTorch Deep Dive    
7 March 16​ Convolutional Neural Networks    
8 March 23​ Pooling, Batch Norm and Custom Layers​