Machine Learning with TensorFlow 1.x

Visualize outputs with TensorBoard

Now, we will visualize the training result with TensorBoard.

First, you need to change the command-line directory to the folder that contains the checkpoints. In our case, it is the train_dir parameter in the previous command, D:\datasets\diabetic\checkpoints. Then, you should run the following command:

tensorboard -logdir .

Here is some output when we run TensorBoard for our network:

The preceding image shows the nodes containing the RMS prop optimizer for the training network and some logits that it contains for the output of DR classification. The next screenshot shows the images coming as input, along ...