Freezing a layer in the context of neural networks is about controlling the way the weights are updated. When a layer is frozen, it means that the weights cannot be modified further. This technique, as obvious as it may sound is to cut down on the computational time for training while losing not much on…

The post What Does Freezing A Layer Mean And How Does It Help In Fine Tuning Neural Networks appeared first on Analytics India Magazine.