Content-Based-Image-Retrieval

Image retrieval using autoencoders. Image retrieval consists of two steps: 1) Extracting the latent features 2) Running the similarity metrics to compare the imput and train images. In this project caltech 101 object dataset is used. You can change the neural network layers, epoch numbers, batch numbers from the notebook.