Day: November 14, 2020
ANN optimization for building metamodels exploiting a variable batch size training and hyperparameter tuning
We describe an approach to find optimized ANN architectures for building metamodels using the Keras library with TensorFlow as the backend. We use the Hyperband algorithm to optimize the hyperparameters of our model on top of a brute-force tuning by a variable-batch training.