Method and system for determining correctness of predictions performed by deep learning model

A system for determining a correctness of a prediction performed by a deep learning model with respect to input data, the system comprising:

• a processor and a memory communicatively coupled to the processor, wherein the memory stores processor-executable instructions, which, on execution, causes the processor to:
• extract a neuron activation pattern of at least one layer of the deep learning model with respect to the input data;
• generate an activation vector based on the neuron activation pattern of the at least one layer of the deep learning model;
• determine the correctness of the prediction performed by the deep learning model with respect to the input data using a prediction validation model and based on the activation vector, wherein the prediction validation model is a machine learning model that has been generated and trained using a plurality of training activation vectors derived from correctly predicted test dataset and incorrectly predicted test dataset of the deep learning model;
• and
• provide the correctness of the prediction performed by the deep learning model with respect to the input data for at least one of subsequent rendering or subsequent processing.

A non-transitory computer-readable medium storing computer-executable instructions for:

• extracting a neuron activation pattern of at least one layer of the deep learning model with respect to the input data;
• generating an activation vector based on the neuron activation pattern of the at least one layer of the deep learning model;
• determining the correctness of the prediction performed by the deep learning model with respect to the input data using a prediction validation model and based on the activation vector, wherein the prediction validation model is a machine learning model that has been generated and trained using a plurality of training activation vectors derived from correctly predicted test dataset and incorrectly predicted test dataset of the deep learning model;
• and
• providing, the correctness of the prediction performed by the deep learning model with respect to the input data for at least one of subsequent rendering or subsequent processing.