CodingTrain / CodingTrain/Toy-Neural-Network-JS
Gradient Optimization
Open
- Dominant language
- JavaScript
- Stars
- 437
- Forks
- 242
- PR merge metrics
- No merged PRs in 30d
Description
Since the derivative of the cost function is actually `2 * error`, training speed can be increased by doubling the learningRate or multiplying the gradients by two.
Contributor guide
No contributing guide indexed for this repository
Research direction
No file or test is named. Locate the cost-function derivative, learningRate handling, and gradient update entry points in the JavaScript library, then verify whether the derivative's factor of two is missing. Done means applying the agreed adjustment and confirming that training behavior improves without changing the intended result.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- javascript
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 42/100