100 lines of neural network code Lab is a 3-dimensional representation of the visible color space: L (lightness 0-100) / a (green-red -127:127) / b (blue-yellow -127:127)
of giants in the ML community • My models are still far from ideal, but I am trying to open-source every step of this journey • Repo: https://github.com/preslavrachev/nn-photo-colorization (https://bit.ly/ 2GNCq2W) • My main challenges right now are finding more time and computing resources. • Using a free Kaggle kernel to do all the training • That said, I would love to work on this project full-time • Advice: Don’t be scared by ML. Choose a topic of your own liking, and it will be your driving force.
image colorization.” European Conference on Computer Vision. Springer, Cham, 2016. • https://github.com/richzhang/colorization • Wallner, E.: How to colorize black & white photos with just 100 lines of neural network code Medium.com, Oct 29, 2017 • Dahl, R.: Automatic Colorization Tinyclouds.org, Jan, 2016 • Cheng, Z., Yang, Q., Sheng, B.: Deep colorization. In: Proceedings of the IEEE International Conference on Computer Vision. (2015) 415–423 • Zhang, Richard, et al. "Real-time user-guided image colorization with learned deep priors." arXiv preprint arXiv:1705.02999 (2017). • https://github.com/junyanz/interactive-deep-colorization • Karpathy, Andrej. "Cs231n convolutional neural networks for visual recognition." Neural networks 1 (2016).