Convolution

Outline

  1. Convolutional Neural Networks - quick intro
  2. Convolutional Neural Networks - more details
  3. Graph Convolution Basics
  4. Graph Convolution Using PyTorch Geometric

Videos

  • Convolutional layers
  • Filters
  • Features
  • Pooling
  • ReLU activation function
  • Deep stacking
  • Fully connected layer
  • Hyperparameters
  • One hot encoding

Ideas for further coding projects

  • Is the solubility data used in video 4 the same as the one you used for multi-linear regression?
  • Are there any outliers in video 4? What do they look like?
  • How important are each of the descriptors used in video 4?
  • Can you figure out how to change the code in video 4 from a classification code to a regression code?