Use tensorboard for hyperparameter tuning
How can we achieve the best results? There should be an easy method to compare and investigate different hyperparameter and the influence of data preprocessing and the choice of the model. Maybe TensorBoard could help to do a visual investigation:
https://www.tensorflow.org/tensorboard/hyperparameter_tuning_with_hparams