PaddlePaddle/VisualDL
Deep learning visualization toolkit that tracks training metrics, visualizes model structures, and analyzes tensor distributions in real time.
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VisualDL is a visualization analysis tool designed for the PaddlePaddle deep learning framework. It provides real-time tracking of training metrics, visualizes model architectures and data samples, displays histogram distributions of tensors, and renders PR curves, ROC curves, and high-dimensional data projections. The tool helps developers understand and optimize their deep learning models during training.
Frequently asked
- What is PaddlePaddle/VisualDL?
- Deep learning visualization toolkit that tracks training metrics, visualizes model structures, and analyzes tensor distributions in real time.
- Is VisualDL open source?
- Yes — PaddlePaddle/VisualDL is open source, released under the Apache-2.0 license.
- What language is VisualDL written in?
- PaddlePaddle/VisualDL is primarily written in HTML.
- How popular is VisualDL?
- PaddlePaddle/VisualDL has 4.9k stars on GitHub.
- Where can I find VisualDL?
- PaddlePaddle/VisualDL is on GitHub at https://github.com/PaddlePaddle/VisualDL.