NOTE: The Bitnami TensorFlow Serving Stack is configured to deploy the TensorFlow ResNet API. This image also ships other tools like Bazel or the TensorFlow Python library for training models. Training operations will require higher hardware requirements in terms of CPU, RAM and disk. It is highly recommended to check the requirements for these operations and scale your server accordingly.
Execute the TensorBoard server:
$ tensorboard --logdir=path/to/log-directory
For more information, please check this the TensorBoard: Visualizing Learning guide.