Gradient descent optimization
{"Image DocumentName": "Gradient descent optimization", "Image ImageDescription": "Error functions based on ML principle for a set of independent observations comprise a sum of terms, one for each data point. On-line gradient descent / sequential gradient descent / stochastic gradient descent, makes an update to the weight vector based on one data point at a time. Cycle through each point/ pick random points with replacement.", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}