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verilog-som
- 拿verilog编写的som(自适应神经网络算法)，用于障碍物检测，基于FPGA可综合实验，已经在altera的cylcone上实现-Canal verilog prepared som (adaptive neural network algorithm) for obstacle detection. Based on FPGA synthesis experiments, in altera achieve the cylcone
nerualnetwork
- 本文为通信专业硕士研究生的毕业论文。主要研究神经网络的FPGA实现及其在网络拥塞控制中的应用。 -In this paper, for the communications professional Master s thesis. Major study of the FPGA realization of neural networks and its application in network congestion control applications.
FPGA-basedhardwareimplementationofneuralnetworks.r
- 基于FPGA的神经网络硬件实现中的关键问题研究，适合用fpga研究神经网络的工程人员参考-FPGA-based hardware implementation of neural networks in the study of key issues for research with neural networks fpga reference works
FPGA-of-Neural-Networks
- 神经网络的FPGA实现，注意是英文的； 神经网络的FPGA实现，注意是英文的；-FPGA IMPLEMENTATIONS OF NEURAL NETWORKS
FPGA_SJ
- 基于FPGA的神经网络硬件实现方法损失是否-Neural network hardware implementation based on FPGA
verilog-som
- 基于fpga的自适应神经网络算法-Fpga-based adaptive neural network algorithm
nn_last
- Neural Network with FPGA and VHDL codes + Matlab model
verilog
- 自适应神经网络算法，用于障碍物检测，基于FPGA可综合实验-Adaptive neural network algorithm for obstacle detection, based on the FPGA can be integrated experiment
BNN-PYNQ-master
- 在PYNQ-Z1上搭建二值神经网络(BNN)(Building two value neural network (BNN) on PYNQ-Z1)
Hardware-CNN-master
- Convolutional neural network code for fpga