TensorBoard

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In machine learning, to improve something you often need to be able to measure it. TensorBoard is a tool for providing the measurements and visualizations needed during the machine learning workflow. It enables tracking experiment metrics like loss and accuracy, visualizing the model graph, projecting embeddings to a lower dimensional space, and much more. provides the visualization and tooling needed for machine learning experimentation:

  • Tracking and visualizing metrics such as loss and accuracy
  • Visualizing the model graph (ops and layers)
  • Viewing histograms of weights, biases, or other tensors as they change over time
  • Projecting embeddings to a lower dimensional space
  • Displaying images, text, and audio data
  • Profiling TensorFlow programs