Loading and Training a Neural Network with Custom dataset via Transfer Learning in Pytorch

In the previous post (here), we loaded and transformed custom images from a directory of training and validation datasets into appropriately processed Tensors; now we are ready to load, modify, train and test an existing model with our readymade data, in four steps:

  • Loading a Neural Network model
  • Building the classifier and training the network
  • Testing the modified network
  • Saving the checkpoint