chrisranderson/beholder
A TensorBoard plugin that visualizes neural network training by displaying tensors as video frames in real time.
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Beholder is a TensorBoard plugin for visualizing arbitrary tensors during neural network training. It renders network parameters, gradients, convolutional layer activations, and other arrays as video frames directly within TensorBoard. The plugin integrates with the TensorFlow ecosystem and has been merged into the official TensorBoard project.
Frequently asked
- What is chrisranderson/beholder?
- A TensorBoard plugin that visualizes neural network training by displaying tensors as video frames in real time.
- Is beholder open source?
- Yes — chrisranderson/beholder is an open-source project tracked on heatdrop.
- What language is beholder written in?
- chrisranderson/beholder is primarily written in Python.
- How popular is beholder?
- chrisranderson/beholder has 462 stars on GitHub.
- Where can I find beholder?
- chrisranderson/beholder is on GitHub at https://github.com/chrisranderson/beholder.