Tensorboard
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TensorBoard is used for visually monitoring statistics while a neural network trains.
One recommendation for using | TensorBoard on HiPerGator is to run TensorBoard monitoring as a separate workload. Many neural network software frameworks are able to stream training data to a TensorBoard log file. Here are the steps to monitor the log separately from your training workload:
- Request a 1 CPU 2 GB RAM HiPerGator Desktop via ood.rc.ufl.edu
- Open a terminal
- Enter command: ml tensorflow
- Enter command: tensorboard --logdir ./pathtolog
- See printed information including a localhost URL with port number
- Open a second terminal
- Enter command: ml ubuntu
- Enter command: firefox (or chrome)
- Paste URL into browser to view TensorBoard log