Googlenet是一个卷积神经网络，深度为22层。您可以在Imagenet上加载经过训练的网络的审计版本[1]或Places365[2][3]data sets. The network trained on ImageNet classifies images into 1000 object categories, such as keyboard, mouse, pencil, and many animals. The network trained on Places365 is similar to the network trained on ImageNet, but classifies images into 365 different place categories, such as field, park, runway, and lobby. These networks have learned different feature representations for a wide range of images. The pretrained networks both have an image input size of 224-by-224. For more pretrained networks in MATLAB^®， 看Pretrained Deep Neural Networks。