tensorflow / tensorflow/quantum
How to do regression using gradient?
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area/docs
help wanted
kind/feature-request
skill-level/intermediate
- Dominant language
- Python
- Stars
- 2.2k
- Forks
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Description
Is it possible to add one example of using gradient to do regression (for example, on sine curves) at the end of these gradient examples in https://www.tensorflow.org/quantum/tutorials/gradients? I would like to learn how to use the gradient after getting the gradient.
Thanks!
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
Start with the gradient tutorial at tensorflow.org/quantum/tutorials/gradients and review its existing examples and execution instructions. Add a regression example using a sine curve after the current gradient examples, then verify that the tutorial runs and clearly demonstrates how the computed gradient is used for regression.
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Assessment
- Tech stack
- python, tensorflow
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 42/100