Keras: ValueError: decode_predictions expects a batch of predictions

Question

I\'m using keras\' pre-trained model VGG16, following this link: Keras VGG16 I\'m trying to decode the prediction output into word of what\'s in the image:

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Answer 1

Just to add on the correct answer by @Marcin Możejko

The same applies to the other available models, so you must always include the top three layers:

vgg19 <- application_vgg19(include_top = TRUE, weights = "imagenet")

model_resnet50 <- application_resnet50(include_top = TRUE, weights = "imagenet")

model_inception_v3 <- application_inception_v3(include_top = TRUE, weights = "imagenet")

model_xception <- application_xception(include_top = TRUE, weights = "imagenet")

Answer 2

You should change a first line to:

model = VGG16(weights='imagenet', include_top=True)

Without this line your model is producing a 512 feature maps with size of 7 x 7 pixels. This the reason behind your error.