Transfer Learning, Finding Learning Rate, and More

Training a neural network from scratch is unnecessary in a situation when pretrained models are readily available. This notebook showcases loading a pretrained model directly from pytorch.models subpackage, its subsequent re-training for the specific problem at hand, a method used Read the rest

Convolution Neural Network Image Classifier

Following the initial image classifier built using the feed-forward architecture the convolution neural networks are the next step on the quest of surpassing human-level accuracy. In essence, the nodes making up the layers of CNNs are not fully connected Read the rest