Image Colorization using Autoencoder
The following things have been done in this project
- Download the "landscape image colorization" dataset and slice it to
train_set,validation_setandtest_set. - Design and train an AutoEncoder using
PyTorch(notTensorFlow) on the dataset to colorize grayscale images - Plot learning curve and visualize grayscale images of test set, their corresponding color images and their colorized versions side by side.
This project was the second part of third phase of Intoduction to machine learning course which is lectured at electrical engineering(EE) department of Sharif university of technology(SUT)