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TensorBoard
Ashok Bhat edited this page Apr 22, 2020
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- TensorFlow's visualization toolkit
- 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