Veritone, Inc.
SYSTEM AND METHOD FOR NEURAL NETWORK ORCHESTRATION

Abstract:

Methods and systems for training an engine prediction neural network is disclosed. One of the methods can include: extracting image features of a first ground truth image using outputs of one or more layers of an image classification neural network; classifying the first ground truth image using a plurality of candidate neural networks; determining a classification accuracy score of a classification result of the first ground truth image for each candidate neural network of the plurality of candidate neural networks; and training the engine prediction neural network to predict the best candidate engine by associating the image features of the first ground truth image with the classification accuracy score of each candidate neural network.