Classifying Flower Images with Pytorch

When I enrolled in Udacity’s Python for AI Nanodegree, I created this classifier for my final project. It implements a neural network, using transfer learning, to classify flower breeds.

Using Pytorch’s library, I wrote files to process the data, build a neural network, train it, and use it to make predictions.

You can find the corresponding GitHub repository here.