the contents of the meal from the images of the food. We developed a multilayered
convolutional neural network (CNN) pipeline that takes advantages of the features from
other deep networks and improves the efficiency. Numerous traditional handcrafted features
and methods are explored, among which CNNs are chosen as the best performing features.
Networks are trained and fine-tuned using preprocessed images and the filter outputs are …