Features

• New hyperparameters dashboard: see tutorial and demo and
  summary APIs
• New dashboard for visualizing meshes and point clouds: see
  README
• Graph dashboard now shows Keras conceptual graph: see tutorial and
  demo
• Embedding projector now supports the UMAP dimensionality reduction
  algorithm (learn more about UMAP here) (#1901) -
  thanks @cannoneyed
• TensorBoard notebook support is stabilized: in a Colab or
  Jupyter notebook, run %load_ext tensorboard followed by %tensorboard --logdir ./path/to/logs
• Profile dashboard improvements:
  • New pod viewer tool to analyze TPU performance (#2111)
  • Now allows capturing profiles from TensorBoard (#1894)
• What-If Tool improvements:
  • Now available as a notebook widget for Jupyter and Colab: see
    demo
  • Now shows PR curves and F1 score (#2264)
  • Now supports Cloud AI Platform, including XGBoost models (#2194)
  • Now shows feature-level attributions for individual predictions, as
    applicable (#2252)
• Image dashboard now allows scrolling for large images (#2164) - thanks @lr1d
• Scalar chart smoothing now caps at 0.999 for convenience (#1974) - thanks
  @flostim
• Scalar chart scroll-to-zoom behavior now requires holding Alt (#2221)
• tensorboard now supports a --version command line argument (#2097) -
  thanks @shashvatshahi1998
• Python API now defines tensorboard.__version__ in addition to
  tensorboard.version.VERSION (#2026)

Bug fixes

• Projector metadata card now formats long words properly (PR #2016) - thanks
  @makseq
• #2010 - .tensorboard-info is now world-writable for multi-user *nix systems
  (PR #2131)
• #1989 - importlib.reload(tensorboard) now works properly (PR #2005)