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Hello,
I wanted to understand your code, I assume that in the below code you training the VGG16 model at
conv_base = VGG16(weights='imagenet', include_top=False, input_shape=(img_width, img_height, 3))
Then taking the features using the function def extract_features(directory, sample_count) for our data.
Finally, you are getting the train_features for another model like SVM.
Am I correct? Please correct me if I am wrong.
The text was updated successfully, but these errors were encountered:
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Hello,
I wanted to understand your code, I assume that in the below code you training the VGG16 model at
conv_base = VGG16(weights='imagenet', include_top=False, input_shape=(img_width, img_height, 3))
Then taking the features using the function def extract_features(directory, sample_count) for our data.
Finally, you are getting the train_features for another model like SVM.
Am I correct? Please correct me if I am wrong.
The text was updated successfully, but these errors were encountered: