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Machine Learning Glossary: Difference between revisions
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* Stride - how far the CNN kernel in terms of input pixels moves between output pixels. | * Stride - how far the CNN kernel in terms of input pixels moves between output pixels. | ||
* Softmax - a function used to convert a set of ''logits'' into a probability distribution. | |||
* Support Vector Machine (SVM) - A linear classifier which maximizes the margin/distance to the nearest examples. | * Support Vector Machine (SVM) - A linear classifier which maximizes the margin/distance to the nearest examples. | ||
* Stochastic Gradient Descent (SGD) - A variation on gradient descent where we only compute the gradient of the parameters against a small batch of data instead of the entire dataset. | * Stochastic Gradient Descent (SGD) - A variation on gradient descent where we only compute the gradient of the parameters against a small batch of data instead of the entire dataset. | ||