Shadow Neural Network for Debugging Target Networks

The patent creates a shadow neural network that is a copy of the target neural network. This copy monitors the activity of the target network by receiving the same input data and producing corresponding output signals, enabling debugging and monitoring without modifying the original target network's structure or behavior.

The shadow neural network acts as an intermediary between the input data and the target neural network. It receives input data, processes it through its own neural network structure, and generates output signals that mirror the target network's activity, serving as a mediator for monitoring and debugging purposes.

Instead of modifying the target network to enable comprehensive monitoring (which would consume additional energy), the patent creates a separate shadow network that copies the target network's architecture. This shadow network processes data independently and provides complete monitoring information without adding energy consumption to the target network's operation.

The monitoring function is segmented from the target neural network by creating a separate shadow network. This segmentation allows comprehensive monitoring of all neurons and synapses through the shadow network while the target network continues to operate independently without additional energy burden for monitoring purposes.