Abstract: A data processing system implements training a first convolutional neural network (CNN) to classify shapes in digital ink inputs, the first CNN being trained to receive ink stroke information as an input and to output an indication whether the ink stroke information represents a hand drawn geometric shape. The data processing system further implements compressing the first CNN to generate a second CNN capable of being operated on a resource-constrained computing device lacking sufficient computing resources to operate an instance of the first CNN and installing the second CNN on the resource-constrained computing device to process ink stroke information captured by a user interface of the computing device.

Abstract: Disclosed are various embodiments for streaming of executable code to clients. A bundle of executable code to be executed in a client device is identified. A plurality of segments of the bundle of executable code are requested from a server via a network. Individual segments are independently verified as they are received via the network. Processing of data in a first segment of the plurality of segments is commenced before a second segment of the plurality of segments is received.