"No one is harder on a talented person than the person themselves" - Linda Wilkinson ; "Trust your guts and don't follow the herd" ; "Validate direction not destination" ;

June 12, 2022

What does it take to build a good enough CNN model ?

This question came up during class. There is no direct answer. It depends on domain / data / use case / number of classes. Guidelines of recommendations are

  • Number of Layers of convolution, Experiment with VGG16 / 19 to get started
  • Balacing imbalanced datasets
  • Depth of Layers - 32/ 64/ 256 as needed
  • Relu, Experiment, Customize on activation functions
  • Adjusting learning rates / Loss functions
  • Early Stopping / Dropouts for regularization
  • Domain Relevant Augmentation
  • Transfer Learning Approach
Keep Thinking!!!



No comments: