Improving the classification performance of a deep neural network
An existing deep neural network app was suffering from too high rates of false positives in classification of fish.
SeaDog Fisheries Management already had a amazing implementation of a deep neural network app to perform classification of fish on phones.
But there was some fine-tuning to be done and with some improvements in the training data, we helped reduce a serious false-positive rate to values that were more acceptable (<1%).