How do I use the Tensorboard callback of Keras?

Question

I have built a neural network with Keras. I would visualize its data by Tensorboard, therefore I have utilized:

keras.callbacks.TensorBoard(log_dir='/Graph', histogram_freq=0,
                            write_graph=True, write_images=True)

as explained in keras.io. When I run the callback I get <keras.callbacks.TensorBoard at 0x7f9abb3898>, but I don't get any file in my folder "Graph". Is there something wrong in how I have used this callback?

Answer 1

keras.callbacks.TensorBoard(log_dir='./Graph', histogram_freq=0,  
          write_graph=True, write_images=True)

This line creates a Callback Tensorboard object, you should capture that object and give it to the fit function of your model.

tbCallBack = keras.callbacks.TensorBoard(log_dir='./Graph', histogram_freq=0, write_graph=True, write_images=True)
...
model.fit(...inputs and parameters..., callbacks=[tbCallBack])

This way you gave your callback object to the function. It will be run during the training and will output files that can be used with tensorboard.

If you want to visualize the files created during training, run in your terminal

tensorboard --logdir path_to_current_dir/Graph 

Hope this helps !