Visualizing TensorFlow with TensorBoard

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.tensorboard1

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.
tensorboard2

Finally run the TensorFlow session and point the browser to the TensorBoard.
tensorboard3

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