DISTRIBUTED NEURAL NETWORKS FOR SCALABLE REAL-TIME ANALYTICS

摘要

Techniques related to implementing distributed neural networks for data analytics are discussed. Such techniques may include generating sensor data at a device including a sensor, implementing one or more lower level convolutional neural network layers at the device, optionally implementing one or more additional lower level convolutional neural network layers at another device such as a gateway, and generating a neural network output label at a computing resource such as a cloud computing resource based on optionally implementing one or more additional lower level convolutional neural network layers and at least implementing a fully connected portion of the neural network.

主权项

1. A computer-implemented method for implementing a neural network via a device comprising:
receiving, via a communications interface at the device, one or more convolutional neural network feature maps generated via a second device; implementing, via the device, at least a fully connected portion of the neural network to generate a neural network output label based on the one or more feature maps; and transmitting the neural network output label.