搜索资源列表
digital_modulation_FCN
- Code for the digital modulation FCN
matlabcode
- incsrch.m root finding by incremental search requires func1.m bisect.m bisection root finding code uses function file: fcn.m falspos.m root finding by false position newtraph.m -incsrch.m root finding by incremental search req
numgrad
- function [g, badg] = numgrad(fcn,x,varargin)
rbc
- function [g, badg] = numgrad(fcn,x,varargin)
fcn
- 信号与系统课程中的RZ码、NRZ码、AMI码、HDB3码、双相码、差分码等-Signal and System s Course used the RZ code, NRZ code, AMI code, HDB3 code, phase codes, differential code, etc.
Frequency_Hopped_Spread_Spectrum
- frequency modulation concerning FCN in communication systems
ziranfeng1
- 应用simulink搭建的一个自然风仿真模型，系统中实用了Matlab Fcn 。-Practical application simulink to build a natural wind simulation model system Matlab Fcn.
fcn
- this is file for traffic networks benchmarks-this is file for traffic networks benchmarks...
Fcn
- 三种波形的产生，包括方形波，三角波，正弦波-The three waveform generation, including a square wave, triangle wave, sine wave
FCN
- Communication system with networks
FCN.tensorflow-tf.0.11_compatible
- tensorflow 0.11compatible-fcn
FCN.tensorflow-master
- 基于tensorflow，通过FCN实现图像分割的深度学习算法(Based on tensorflow, depth learning algorithm for image segmentation through FCN)
fcn.berkeleyvision.org
- 图像识别、深度学习。 语言用的是python 2.x ，里面有训练好的模型，在文件夹里都有给出地址，可以直接去下载。也有一个很大的图片包，里面有很多图片，可以直接拿来作为素材用。也可以自己给图片制作数据标签，训练自己的模型。(image recognition deep learning The language used is Python 2.x, and there are training models, which are given in the folder, which c
CAFFE
- 使用python进行 FCN批量测试图片，使用训练好的模型批量测试图片(Use the python for FCN batch test pictures, use the trained model to test the image in batches)
NNC_PID_1_2
- 该MDL主要通过Matlab Simulink实现神经网络的PID控制，两个例子中神经网络模块分别利用Simulink\User-Defined Functions\MATLAB Fcn和S函数方式实现。在S函数中引入T,nh,xite,alfa,kf1,kf2等参数，在S-Function模块的Parameters处予以初始化。并附带了S函数的使用方法，供大家学习Simulink中两种自定义模块的使用方法。(The MDL mainly through the Matlab Simulink
FCN.tensorflow-master.tar
- its a code packages for image segmentaion
tensorflow-fcn-master
- fcn语义分割的实现，基于VGG16等网络(The implementation of FCN semantic segmentation, based on VGG16 and other networks)
R-FCN
- R-FCN全卷积网络的目标检测神经网络，算法性能优于Faster R-CNN(R-FCN is an full convultional network, the performance of R-FCN outperform the Faster R-CNN)
FCN.tensorflow-master
- 全卷积网络图像分割。使用python和tensorflow的实现。(Image segmentation with full convolution network.)
R-FCN-master
- R-FCN: Object Detection via Region-based Fully Convolutional Networks