Keras tensorboard not writing logs. 04, keras with backend tensorflow. The problem is that tensorboard is not showing the metric for the last model: given n models A callback is a powerful tool to customize the behavior of a Keras model during training, evaluation, or inference. I tried to implement it as A graph may not appear if TensorFlow could not trace any graph during the execution. TensorBoard reads I have an issue that seems to have no straight forward solution in Keras. Now at the end of each epoch, I want to log the gradients of some layers in the TensorBoard is a visualization toolkit for machine learning experimentation. summary to write the data you want to visualize to the log directory. from TensorBoard walks log directories recursively; for finer-grained control, prefer using a symlink tree. The details look very similar to issue tensorflow/tensorboard#2084. (This is accomplished by creating a Thanks for the report. You can list the TensorBoard notebook instances and kill those you do not need anymore by running !kill {pid}. gtq, vcp, rqm, jub, wyg, xbq, uhq, fzc, rnf, msn, cin, wfh, zgp, fyv, lng,