Define convolutional. convolutional synonyms, convolutional pronunciation, convolutional translation, English dictionary definition of convolutional. n. 1. A form or part that is folded or coiled. 2. One of the convex folds of the surface of the brain. c
The SiN-based OCPU, as the parallel convolution kernel, is fabricated at a CMOS compatible platform using the low-pressure chemical vapor deposition and Damascus process to realize the low-loss and high-confinement SiN waveguides46. The micrographs of the chip are shown in Fig.2a–c, where Fig...
This is required to implement the two-step initialization process that Objective-C uses, the first step is to perform the object allocation, the second step is to initialize the object. When developers invoke the constructor that takes the NSObjectFlag.Empty they take advantage of a direct path...
linear convolutional output data.The full coupling (FC) component provides an artificial neural network (ANN) output based on the pooling output output via another pipelined process that operates in parallel, and one or more based on an ANN output Enables recognition of patterns in number images....
This constructor should be called by derived classes when they completely construct the object in managed code and merely want the runtime to allocate and initialize the NSObject. This is required to implement the two-step initialization process that Objective-C uses, the first step is to perform...
A convolutional layer is a fundamental component of a convolutional neural network (CNN). It consists of multiple neurons, each of which acts as a kernel. These kernels perform various operations on images, such as edge detection, blur, and sharpening through the process of convolution. The conv...
The convolution module is arguably one of the most computationally intensive modules in the CNN, so the design of his acceleration is crucial. The convolution operation can be regarded as a multiply-accumulate (MAC) process. The simplest construction requires only a multiplier, an adder and a reg...
The MRO-ARFTCN algorithm is a variant of convolutional neural networks (CNNs), which can both extract causal characteristics among data and inherit forwarding propagations of CNNs. Specifically, multi-region operations characteristics are extracted from industrial process historical data using clustering ...
The authors of theIsometric and Non-Isometric Shape Correspondence Benchmark dataset[5] have recently made the ground-truth correspondences publicly available. We will provide instructions on how to organize and pre-process the dataset to replicate our experiments in the future. ...
In this work, we propose a memory-efficient convolution or MEC with compact lowering, which reduces memory-overhead substantially and accelerates convolution process. MEC lowers the input matrix in a simple yet efficient/compact way (i.e., much less memory-overhead), and then executes multiple ...