Image-inpainting-over-CIFAR-10
The project presents a Deep Learning model with an autoencoder-like architecture making use of convolutional layers in both the encoder and the decoder to perform image inpainting over the CIFAR-10 database images reaching a mean mean-squared error value of 0.007867775.
