Hi ,
What I have learnt by now is that the Convolution base network.
The intial layers have a very small receptive field and therefore extract very fine features[which are not able to generalize well on test data].
But as we go deeper into the neural network…the neurons have higher receptive field.
But in the video Prateek Sir has quoted that the intial layers capture very generic features.
Therefore we need to modify the higher layers(deeper layers which extract very high level features.
Kindly clear this doubt