TensorBoard

TensorBoard is a visualization toolkit to optimize and debug ML models.

Use it when

• •You want to track ML experiment metrics like loss and accuracy.
• •You want to visualize the tracked metrics and model architecture.
• •You want to view model histograms.
• •You want to log diagnostic data as images.
• •You want an integrated What-if Tool to analyze black-box classification and regression ML models.
• •You want an integrated debugger tool.

Watch out

• ⚠What-if Tool requires TensorFlow Serving tool, and the dataset must be in a TFRecord file accessible by TensorBoard.

Available in stages

Installation

Example stacks