Determined vs TensorBoard

Determined has no write-up on Specifiction yet; its figures are above.

TensorBoard is a free suite of visualization tools for understanding, debugging and optimizing TensorFlow programs during machine-learning experiments. It tracks metrics such as loss and accuracy, and its Graph Explorer displays model graphs for inspection. Dashboards show changes in tensor distributions through histograms and percentile summaries. The tools can also display logged images, audio and text, project high-dimensional embeddings and profile TensorFlow programs. In Keras workflows, a TensorFlow callback records metrics, training graph visualizations, weight histograms and sampled profiling data. TensorBoard can be launched from the command line or in notebooks using the `%tensorboard` line magic. It is designed for offline use, including local environments, corporate firewalls and datacenters. Version 2.0 and later defaults to `--host localhost`; `--bind_all` serves it on the public network over IPv4 and IPv6. Without a TensorFlow installation, it does not support log directories on Google Cloud Storage. The README identifies Chrome and Firefox as supported browsers and warns that others may have bugs or performance issues.