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.
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.