Systems and methods for distributing a neural network across multiple computing devices

A method comprising

• receiving, by a processor of a wearable head display, input data captured by the wearable head display;
• generating, by a first one or more layers of a neural network implemented on the processor and trained to identify one or more features in input data, a data set that is reduced in size relative to a size of the input data while identifying one or more features of the input data for processing by a second one or more layers of the neural network;
• determining an accuracy associated with a first feature of the one or more features in the data set is outside a range of acceptable values;
• and
• determining an accuracy associated with a second feature of the data set is within the range of acceptable values;
• in response to the accuracy associated with the first feature of the one or more features in the data set is outside a range of acceptable values:
• communicating, by the processor of the wearable head display, first portion of the data set that is reduced in size relative to the size of the input data and associated with the first feature to a second device for processing via the second one or more layers of the neural network implemented on processing circuitry of the second device;
• in response to the accuracy associated with the second feature of the data set being within the range of acceptable values:
• performing, by the processor, an action with respect to the second feature on the processor of the wearable head display instead of communicating the portion of the data set associated with the second feature to the second device.

A system comprising:

• a first device comprising processing circuitry configured to receive input data for processing via a neural network implemented across the processing circuitry of the first device and processing circuitry of a second device, wherein the neural network is trained to identify one or more features within input data;
• where a first one or more layers of the neural network implemented on the processing circuitry of the first device is configured to output a data set that is reduced in size relative to a size of the input data while identifying one or more features of the input data for processing by a second one or more layers of the neural network, responsive to a determination that an accuracy associated with a first feature of the one or more features in the data set is outside a range of acceptable values and a second feature of one or more feature in the data set is within the range of acceptable values;
• and
• wherein the processing circuitry of the first device is configured to communicate a first portion of the data set that is reduced in size relative to the size of the input data and associated with the first feature to the processing circuitry of the second device for processing via the second one or more layers of the neural network implemented on the processing circuitry of the second device while performing an action on the second feature on the first device and foregoing communicating to the second device a second portion of the data set associated with the second feature.