listing advanced deep-learning best practices training he model wit tensorboard callback callbacks log files will be written keras callbacks tensorboardat this location log_dir='my_log_dir'histogram_freq= records activation histograms every epoch embeddings_freq= records embedding data every epoch history model fit(x_trainy_trainepochs= batch_size= validation_split= callbacks=callbacksat this pointyou can launch the tensorboard server from the command lineinstructing it to read the logs the callback is currently writing the tensorboard utility should have been automatically installed on your machine the moment you installed tensorflow (for examplevia pip)tensorboard --logdir=my_log_dir you can then browse to figure in addition to live graphs of the training and validation metricsyou get access to the histograms tabwhere you can find pretty visualizations of histograms of activation values taken by your layers (see figure figure tensorboardmet rics monitoring licensed to