1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2022
A Directed-Evolution Method for Sparsification and Compression of Neural Networks with Application to Object Identification and Segmentation and considerations of optimal quantization using small number of bits
Luiz M Franca-Neto
This work introduces Directed-Evolution (DE) method for sparsification of neural networks, where the relevance of parameters to the network accuracy is directly assessed and the pa…
cs.LG2018★ 1 cited
Field-Programmable Deep Neural Network (DNN) Learning and Inference accelerator: a concept
Luiz M Franca-Neto
An accelerator is a specialized integrated circuit designed to perform specific computations faster than if those were performed by CPU or GPU. A Field-Programmable DNN learning an…