tensorflow / tensorflow/tensorboard
Add gradient flow graph
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plugin:graph
type:feature
type:feature (new plugin)
- Dominant language
- TypeScript
- Stars
- 7.2k
- Forks
- 1.7k
- Avg merge
- 4d 22h
- Merged PRs (30d)
- 1
Description
For a complex networks, it can be hard to understand how gradient flows back ( with the presence of stop_gradient , etc.) for back propagation. Data flow graph is great for understand the forward path. A similar graph for the backward path will be even more useful.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names no files, tests, or entry points. Start by reviewing TensorBoard's existing data-flow graph and how stop_gradient and backpropagation are represented, then define the graph scope and acceptance criteria before implementation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- typescript
- Domain
- data-visualization, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100