I just got started with Keras and built a Q-learning example program. I created a tensorboard callback and I include it in the call to model.fit, but the only things that appear in TensorBoard are the scalar summary for the loss and the network graph. Interestingly, if I open up the dense layer in the graph, I see a little summary icon labeled "bias\_0" and one labeled "kernel\_0", but I don't see these appearing in the distributions or histograms tabs in TensorBoard like I did when I built a model in pure tensorflow.

Do I need to do something else to enable these in Tensorboard? Do I need to look into the details of the model that Keras produces and add my own tensor\_summary() calls?