TensorBoard is a tool for visualizing graphs and various metrics for TensorFlow session runs. With a few line of additional code, TensorBoard gathers and report run statistics in a nice graphical interface.
First of all a few lines are required to TensorFlow session as in below:
writer = tf.summary.FileWriter("output", sess.graph) print(sess.run(GH, options=options, run_metadata=run_metadata)) writer.close()
Before running the session, start TensorBoard using the following command.
Finally run the TensorFlow session and point the browser to the TensorBoard.