Neural Network Implementation on a FPGA - Chen - 2002 () Citation Context ...l models can be embedded in the network structure reducing the functional complexity that must be mapped by the network. These often results in a smaller network size and reduction in training effort.=-=[9]-=- ...
The use of artificial intelligence in healthcare applications offers significant accuracy and utility for medical practitioners and patients. Deep learning has made a substantial positive impact on the healthcare industry by reducing the use of medical resources and workloads. Neural networks (NNs), ins...
1023Accesses Abstract In this work, Convolutional Neural Network (CNN) is applied for defect identification of Swiven Cap (one type of medical component) based on Field-Programmable Gate Array (FPGA) implementation. Caffe is used as the platform to develop the CNN model. After training phase, ...
Efficient FPGA-Based Convolutional Neural Network Implementation for Edge Computing 鈥擨n recent years, accelerating convolutional neural networks on Field Programmable Gate Array (FPGA) to improve the performance of the inference phase of... C Pham-Quoc,TN Thinh - 《Journal of Advances in Information...
Recurrent Neural Networks (RNNs) have the ability to retain memory and learn data sequences, and are a recent breakthrough of machine learning. Due to the recurrent nature of RNNs, it is sometimes hard to parallelize all its computations on conventional
"FPGA Verilog neural network implementation" 或者 "Verilog HDL neural network implementation" 来寻找...
[1] V. Tiwari, N. Khare, Hardware implementation of neural network with Sigmoidal activation functions using CORDIC, Microprocss. Microsyst. 39 (2015) 373-381. [2] A. Armato, L. Fanucci, E.P. Scilingo, D. De Rossi, Low-error digital hardware implementation of artificial neuron activati...
This paper presents a hardware implementation of multilayer feedforward neural networks (NN) using reconfigurable field-programmable gate arrays (FPGAs). Despite improvements in FPGA densities, the numerous multipliers in an NN limit the size of the network that can be implemented using a single FPGA...
https://github.com/Haleski47/RTL-Implementation-of-Two-Layer-CNN https://github.com/Di5h3z/ECE-564-Convolutional-Neural-Network-Accelerator 具有详细设计的两层 CNN 详细的设计文档: https://github.com/Haleski47/RTL-Implementation-of-Two-Layer-CNN/blob/master/report/Apar%20Bansal%20ECE564%20Pro...
FPGA Implementation of the Locally Recurrent Probabilistic Neural NetworkThis study is part of the Instituto Nacional de Ciência e Tecnologia em reas midas (INAU / CNPq / UFMT), Cuiaba, Mato Grosso, Research Program on the Pantanal wetlands. The main goal of this proj…" [more]...