feat: add SGD optimizer for neural networks#13671
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madhavansingh wants to merge 2 commits intoTheAlgorithms:masterfrom
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feat: add SGD optimizer for neural networks#13671madhavansingh wants to merge 2 commits intoTheAlgorithms:masterfrom
madhavansingh wants to merge 2 commits intoTheAlgorithms:masterfrom
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Hi @Adhithya-Laxman, I’ve added the first optimizer (Stochastic Gradient Descent, SGD) in the new module This is the first step toward implementing the full sequence of optimizers (Momentum SGD, NAG, Adagrad, Adam, Muon). Thanks! |
for more information, see https://pre-commit.ci
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Hi @madhavansingh , Thanks for your contribution. |
This was referenced Oct 22, 2025
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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.pyto 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