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APIs and interfaces for creating modular visualization extensions with support for dynamic loading and iframe isolation.
Distinct from Plugin Development Toolkits: Distinct from Plugin Development Toolkits by specializing in the architectural requirements of rendering dashboards (e.g., iframes).
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TensorBoard is a visualization toolkit for tracking and analyzing machine learning model training progress and performance using TensorFlow event logs. It provides a monitoring dashboard for plotting scalar metrics, tensor distributions, and training curves, and includes specialized tools for visualizing neural network computational graphs and projecting high-dimensional embeddings. The project enables side-by-side comparison of multiple training runs to analyze the impact of hyperparameters on model outcomes. It also features a high-dimensional embedding projector and a graph visualizer for
Provides an interface for creating new visualization dashboards with support for dynamic loading and iframe rendering.