Visualizing TensorFlow graphs

TensorFlow graphs can be visualized using TensorBoard. It is a service that utilizes TensorFlow event files to visualize TensorFlow models as graphs. Graph model visualization in TensorBoard is also used to debug TensorFlow models.

Getting ready

TensorBoard can be started using the following command in the terminal:

$ tensorboard --logdir home/log --port 6006 

The following are the major parameters for TensorBoard:

• --logdir : To map to the directory to load TensorFlow events
• --debug: To increase log verbosity
• --host: To define the host to listen to its localhost (127.0.0.1) by default
• --port: To define the port to which TensorBoard will serve

The preceding command will launch the TensorFlow...