TensorBoard

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• TensorBoard | Google ...TensorFlow's visualization toolkit
• TensorFlow
• TensorFlow Playground
• TensorBoard: Graph Visualization
• Neural Networks Playground
• Analytics ... Visualization ... Graphical Tools ... Diagrams & Business Analysis ... Requirements ... Loop ... Bayes ... Network Pattern
• Colaboratory (Colab)
• Data Flow Graph (DFG)
• TensorWatch
• Principal Component Analysis (PCA) ...linear
• Embedding ... Fine-tuning ... RAG ... Search ... Clustering ... Recommendation ... Anomaly Detection ... Classification ... Dimensional Reduction. ...find outliers
  • T-Distributed Stochastic Neighbor Embedding (t-SNE) ...non-linear
• Graphical Tools for Modeling AI Components
• Visualizing Dataflow Graphs of Deep Learning Models in TensorFlow | K. Wongsuphasawat, D. Smilkov, J. Wexler, J. Wilson, D. Mane, D. Fritz, D. Krishnan, F. Viegas, and M. Wattenberg

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