SGD
- noun
- Specialized
- Researchers compared SGD with other algorithms to determine which achieved faster convergence.
Examples
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Many machine learning frameworks offer SGD as a default optimization method.
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The model was trained using SGD for optimization.
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The neural network was trained using SGD to improve its performance on the dataset.
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In deep learning, SGD helps to minimize the loss function.
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The researchers utilized SGD to adjust their model parameters during training.
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By implementing SGD, the team was able to significantly reduce the error in their predictions.
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During the machine learning workshop, participants learned how to apply SGD for effective model optimization.
Surface Forms
Etymology
SGD stands for Stochastic Gradient Descent, where Stochastic means 'random', Gradient is like a 'slope' or 'direction', and Descent means 'going down'. So SGD is a method that takes small random steps down the error slope to make a model better.