KL: Pytorch Lesson Series


#1

First Lesson:
Materials can be found in google sheet here.

Highlights:

  • Useful links to install Pytorch, or use Pytorch on Google Colab.
  • Create tensors in Pytorch, convert tensors to numpy array and vice versa
  • Back propagation, done manually and using autograd
  • Linear regression and logistic regression in Pytorch
  • Use of Data Loader

Estimated time : 7 hours 30 mins

Second Lesson:
Materials can be found in google sheet here.

Highlights:

  • Softmax Classifier
  • Basic CNN
  • Advanced CNN
  • RNNs

Estimated time : 7 hours 30 mins