A benchmark of five transfer learning models on 8,000 field-collected grape leaf images showed top test accuracy reached only ...
An empirical evaluation of ten convolutional neural network architectures across three imaging modalities reveals that ...
In deep learning, a vast amount of training data is usually required. However, in practice, we often hit a wall where we cannot prepare such a large amount of data.This is where the technique called ...