Dataset Groups Activity Stream FPDeep: Scalable Acceleration of CNN Training on Deeply-Pipelined FPGA Clusters The dataset used in this paper is a CNN training dataset, specifically VGG-16, VGG-19, and AlexNet. BibTex: @dataset{Tong_Geng_and_Tianqi_Wang_and_Ang_Li_and_Xi_Jin_and_Martin_Herbordt_2024, abstract = {The dataset used in this paper is a CNN training dataset, specifically VGG-16, VGG-19, and AlexNet.}, author = {Tong Geng and Tianqi Wang and Ang Li and Xi Jin and Martin Herbordt}, doi = {10.57702/p6l5d0d7}, institution = {No Organization}, keyword = {'CNN', 'Deep Learning', 'FPGA', 'GPU'}, month = {dec}, publisher = {TIB}, title = {FPDeep: Scalable Acceleration of CNN Training on Deeply-Pipelined FPGA Clusters}, url = {https://service.tib.eu/ldmservice/dataset/fpdeep--scalable-acceleration-of-cnn-training-on-deeply-pipelined-fpga-clusters}, year = {2024} }
