The article reviews the progress and application of food/dish recognition through Convolution Neural Network (CNN) technique. Also, the article explores the CNN architecture in an experiment to classify four types of common Chinese dishes and reaches an accuracy of 90% after tuning hyperparameters and applying different strategies of optimization.