I have built a neural network with Keras. I would visualize its data by Tensorboard, therefore I have utilized:
keras.
There are few things.
First, not /Graph but ./Graph
Second, when you use the TensorBoard callback, always pass validation data, because without it, it wouldn't start.
Third, if you want to use anything except scalar summaries, then you should only use the fit method because fit_generator will not work. Or you can rewrite the callback to work with fit_generator.
To add callbacks, just add it to model.fit(..., callbacks=your_list_of_callbacks)