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VGG-M is a very small network but gives reasonable performance. It is helpful in the tasks where we have small dataset of our own and we want extract features from a network which is trained on ImageNet. Thus fine tuning on a small architecture helps in avoiding overfitting.
The text was updated successfully, but these errors were encountered:
VGG-M is a very small network but gives reasonable performance. It is helpful in the tasks where we have small dataset of our own and we want extract features from a network which is trained on ImageNet. Thus fine tuning on a small architecture helps in avoiding overfitting.
The text was updated successfully, but these errors were encountered: