Neural Network to colorize grayscale images
Role in this project:
ML Engineer Contributions:37 commits, 13 pushes, 1 comment in 9 days
Contributions summary:Pavel's primary contribution is the implementation of a neural network for colorizing grayscale images, as demonstrated in the `train.py` file. They focused on the model's architecture, incorporating VGG16 features and defining layers. Their work involves data loading, preprocessing, loss calculations, and model training, including batch normalization and the use of the YUV color space.
colorizegrayscale-imagesimage-processinggrayscaleneural-network
Contributions:69 commits in 10 days