Hands-On Convolutional Neural Networks with TensorFlow

TensorBoard

TensorBoard is a web-based utility provided with TensorFlow that allows you to visualize your constructed TensorFlow graph. On top of this, it allows you to keep track of a wealth of statistics or variables that may be important for training your model. The examples of such variables that you might like to keep track of include training loss, test set accuracy, or learning rate. We saw earlier that we can visualize the value of our loss function using tensorboard.

To run TensorBoard, open a new terminal and type the following:

$ tensorboard --logdir=/somepath

Here, somepath points to the place where your training code saves tensorboard logging data.

Inside your code, you need to define which tensors to visualize by creating a ...