feat: add SGD optimizer for neural networks #13671
Open
+50
−0
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Describe your change:
This PR adds the Stochastic Gradient Descent (SGD) optimizer under
machine_learning/neural_network/optimizers/sgd.py
. SGD is a fundamental optimizer used for training neural networks and deep learning models.Key features included in this PR:
test_sgd.py
to validate functionalityThis PR is the first step in adding a sequence of neural network optimizers:
Momentum SGD, Nesterov Accelerated Gradient (NAG), Adagrad, Adam, and Muon.
This implementation provides a reference-quality example and lays the foundation for future contributions.
Checklist:
Fixes #13662