Keras-enabled version Big improvement on usability in the glorious post-paper time. Most notably, training loop finally uses TF2.0/keras! Not much loss in performance. - Main training loop now uses TensorFlow>=2.0, and can use Keras features * https://gitlab.com/Karel-van-de-Plassche/QLKNN-develop/-/merge_requests/17 - Improvement to quickslicer * https://gitlab.com/Karel-van-de-Plassche/QLKNN-develop/-/merge_requests/20 - Improved debugging * https://gitlab.com/Karel-van-de-Plassche/QLKNN-develop/-/merge_requests/23 - Committee nets with multiple outputs A. Ho, publication in preparation. * https://gitlab.com/Karel-van-de-Plassche/QLKNN-develop/-/merge_requests/12 - Add CMGnets (later dubbed HornNets), see P. Horn MSc thesis. Publication in preparation * https://gitlab.com/Karel-van-de-Plassche/QLKNN-develop/-/merge_requests/18 * https://gitlab.com/Karel-van-de-Plassche/QLKNN-develop/-/merge_requests/19 * https://gitlab.com/Karel-van-de-Plassche/QLKNN-develop/-/merge_requests/22 - Improve filtering for committee nets A. Ho, publication in preparation. * https://gitlab.com/Karel-van-de-Plassche/QLKNN-develop/-/merge_requests/16 * https://gitlab.com/Karel-van-de-Plassche/QLKNN-develop/-/merge_requests/15 - Allow loading parts of Kerasnets * https://gitlab.com/Karel-van-de-Plassche/QLKNN-develop/-/merge_requests/13 - Allow not shuffling every epoch, saves time in large-dataset, small-network cases. See R. Winkler MSc thesis * https://gitlab.com/Karel-van-de-Plassche/QLKNN-develop/-/merge_requests/14