Dataset Groups Activity Stream Leapfrogging for parallelism in deep neural networks The dataset used in the paper is a neural network with L layers numbered 1,..., L, in which each of the hidden layers has N neurons. BibTex: @dataset{Yatin_Saraiya_2024, abstract = {The dataset used in the paper is a neural network with L layers numbered 1,..., L, in which each of the hidden layers has N neurons.}, author = {Yatin Saraiya}, doi = {10.57702/m9la2nt0}, institution = {No Organization}, keyword = {'Deep Learning', 'Neural Networks', 'Parallel Computing'}, month = {dec}, publisher = {TIB}, title = {Leapfrogging for parallelism in deep neural networks}, url = {https://service.tib.eu/ldmservice/dataset/leapfrogging-for-parallelism-in-deep-neural-networks}, year = {2024} }
