Transfer Learning and Fine Tuning

Transfer learning is a method through which we can use the weights and hyper-parameter of the pre-trained model to customize the network and train it on our custom dataset. How?

Transfer learning is a method through which we can use the weights and hyper-parameter of the pre-trained model to customize the network and train it on our custom dataset. How?

So to do that we actually freeze the layers, what do, I mean by freezing…

Rakesh

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