Topics

My Checklist

• Basics

  • Gradient Descent
  • Intro to neural networks
  • Training neural networks (basics)
  • Inference and Validation
  • Saving and Loading models

• Train MLP to perform classification - MNIST data

• CNNs

  • Visulize the output from a conv layer
  • Effects of activation and pooling
  • Transfer Learning using VGGNet for classification of a custom dataset
  • Weight initialization for better training

• Train a CNN to perform classification - CIFAR 10 data