Data Science at Home Podcast - Part 2

There is no one sized fitsal. in deep learning also, it's quite intensive in terms of computation that you need. So things can change depending on thegeneral natur that you are dealing with. And so when you want to squeeze neural networks on these devices, pruning the network will definitely help you and preserve most of the accuracy.