Counter argument: For every trainable NN, there exists an equivalent, sparser [edit] trained NN. https://numenta.com/blog/2019/08/30/case-for-sparsity-in-neura

Counter argument: For every trainable NN, there exists an equivalent, sparser [edit] trained NN. https://numenta.com/blog/2019/08/30/case-for-sparsity-in-neural-networks-part-1-pruning https://numenta.com/blog/2019/08/30/case-for-sparsity-in-neu... https://web.archive.org/web/20211130211241/https://www.bhauth.com/blog/programming/sparsity.html https://web.archive.org/web/20211130211241/https://www.bhaut... https://arxiv.org/abs/1803.03635 https://arxiv.org/abs/1803.03635