Hey guys, so lately since there are a lot of notation it’s making me more confuse. So in the video https://www.coursera.org/learn/deep-neural-network/lecture/RwqYe/weight-initialization-for-deep-networks, Where it initialize weights, what does the notation ‘n’ represent? Thanks!

Thanks for your reply! Oh and by the way, does this **n** definition are also the same in deep network?

n is just a variable to represent features in the current video. It can be changed in another deep learning network.

n is the counter ,it represents the number of the input features going to the neuron