2/10 This collab began with trying to improve #water #temperature predictions in lakes. Researchers hybridized #deeplearning algorithms so the models could “learn” physical laws like the conservation of energy. See Read et al. 2019 https://t.co/g2URp2VyIX
10,833 followers
10,833 followers
Our #DeepLearning models are trained on 100,000's of observations and guided by knowledge of how streamflow responds to weather, we call these process-guided deep learning (PGDL) models https://t.co/g2URp2VyIX (5/7) https://t.co/N9nX1UNC6T
6,177 followers
RT @jordansread: new paper!! Instead of picking sides in the battle between #MachineLearning and process-based models, we asked instead WHY…
7,459 followers
RT @jordansread: new paper!! Instead of picking sides in the battle between #MachineLearning and process-based models, we asked instead WHY…