Fig. 4From: Deep learning for image-based large-flowered chrysanthemum cultivar recognitionDCNN framework. Batch normalization was used to improve the performance and stability of DCNN. Dropout prevented DCNN from overfitting. Global average pooling can adapt to any input image sizeBack to article page