基于深度学习的食用菌分类研究

Classification of Edible Fungi Based on Deep Learning

在介绍基于传统提取特征的食用菌分类方法基础上,通过利用卷积神经网络对食用菌进行深度分类的过程,阐述了基于深度学习的食用菌分类方法。试验数据证明深度学习方法在食用菌分类任务上取得了较高的准确率,明显优于传统的提取特征图像识别分类方法。

On the basis of introducing the classification method of edible fungi based on traditional feature extraction,the process of deep classification of edible fungi by using convolutional neural network is expounded.The classification method of edible fungi based on deep learning is proved by experimental data to achieve high accuracy in the classification task of edible fungi,which is ob‐viously superior to the traditional feature extraction image recognition and classification method.