It contains two major Python notebooks, one in which we define the architecture of the model and train it (using a downsampled version of ImageNet), and one in which we used the already trained ...

Built an image similarity application using Python to search and find images of products that are similar to any given product. Implemented the K-Nearest Neighbor algorithm to find products with ...