TDB
A visual debugger for TensorFlow with breakpoints and real-time data visualization during neural network training.
What is TDB?
TensorDebugger (TDB) is a visual debugger for TensorFlow that extends Google's deep learning framework with breakpoints and real-time visualization of data flowing through computational graphs. It helps developers and researchers debug neural networks interactively by allowing them to pause execution, inspect tensors, and visualize training metrics as the model runs.
Machine learning researchers and developers working with TensorFlow who need to debug complex neural networks, visualize training dynamics, or understand model behavior during prototyping.
TDB provides interactive, node-by-node debugging and real-time visualization that TensorBoard lacks, enabling immediate inspection without writing log files first. It's like GDB for TensorFlow, offering step-through execution and custom plotting directly within the training loop.
Overview
Interactive, node-by-node debugging and visualization for TensorFlow
Use Cases
Best For
- Debugging TensorFlow computational graphs node-by-node
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
