Dataset Groups Activity Stream Power-of-Two Quantisation for Low Bitwidth and Hardware Compliant Neural Networks The dataset used in this paper is a convolutional neural network with Power-of-Two (PoT) quantisation. BibTex: @dataset{Dominika_Przewlocka-Rus_and_Tomasz_Kryjak_2024, abstract = {The dataset used in this paper is a convolutional neural network with Power-of-Two (PoT) quantisation.}, author = {Dominika Przewlocka-Rus and Tomasz Kryjak}, doi = {10.57702/fhw3lqor}, institution = {No Organization}, keyword = {'Hardware Compliant Neural Networks', 'Low Bitwidth', 'Power-of-Two Quantisation'}, month = {dec}, publisher = {TIB}, title = {Power-of-Two Quantisation for Low Bitwidth and Hardware Compliant Neural Networks}, url = {https://service.tib.eu/ldmservice/dataset/power-of-two-quantisation-for-low-bitwidth-and-hardware-compliant-neural-networks}, year = {2024} }
