Abstract: Depthwise convolution (DWConv) is an effective technique for reducing the size and computational requirements of convolutional neural networks. However, DWConv’s input reuse pattern is not ...

Water quality parameter prediction is a new water quality detection technology in the era of big data, which plays a vital role in the management and protection of water resources. Traditional water ...

Arrays in Python give you a huge amount of flexibility for storing, organizing, and accessing data. This is crucial, not least because of Python’s popularity for use in data science. But what ...

I was experimenting with the approximate convolution you mentioned in #1160 and I came across a persistent segfault but only when convolving ushort images. I can make the segfault happen either in ...

Abstract: In this paper, on the basis of the NOR flash computing array (NFCA) based convolution paradigm we proposed, the impacts of key parameters including interconnect resistance, voltage drift and ...

self, conv1_get, size_p1, bp_num1, bp_num2, bp_num3, rate_w=0.2, rate_t=0.2 :param conv1_get: [a,c,d], size, number, step of convolution kernel :param size_p1 ...

It’s not uncommon to meet a lawyer who’d like to work in renewable energy, or an app developer who’d like to write a novel, or an editor who fantasizes about becoming a landscape designer. Maybe you ...