65、深度学习：图像分类、GAN与迁移学习

深度学习：图像分类、GAN与迁移学习

1. 图像分类模型及效果

在图像分类任务中，我们使用了一些预训练的深度神经网络（DNN）模型进行图像预测。以下是具体的代码实现：

x <- image_to_array(img)
x <- array_reshape(x, c(1, dim(x)))
x <- imagenet_preprocess_input(x)

# Model 1: resnet50
model_resnet50 <- application_resnet50(weights = 'imagenet')
preds_resnet50 <- model_resnet50 %>% predict(x)
imagenet_decode_predictions(preds_resnet50, top = 10)

# Model2: VGG19
model_vgg19 <- application_vgg19(weights = 'imagenet')
preds_vgg19 <- model_vgg19 %>% predict(x)
imagenet_decode_predictions(preds_vgg19, top = 10)[[1]]

# Model 3: VGG16
model_vgg16 <- application_vgg16(weights = 'imagenet')
preds_vgg16 <- model_vgg16 %>% predict(x)
imagenet_decode_predictions(preds_vgg16, top = 10)[[