best practices this covers the keras functional api using keras callbacks working with the tensorboard visualization tool important best practices for developing state-ofthe-art models this explores number of powerful tools that will bring you closer to being able to develop state-of-the-art models on difficult problems using the keras functional apiyou can build graph-like modelsshare layer across different inputsand use keras models just like python functions keras callbacks and the tensorboard browser-based visualization tool let you monitor models during training we'll also discuss several other best practices including batch normalizationresidual connectionshyperparameter optimizationand model ensembling licensed to