搜索资源列表
cnn+multi
- cnn simulation with perceptron
CNN注释版
- Matlab DeepLearning toolbox中的CNN,加了中文注释(cnn in Matlab DeepLearning toolbox with notes)
cnn-text-classification-tf
- 利用 Tensorflow 构建 CNN 模型实现文本分类(CNN for Text Classification in Tensorflow)
CNN
- 在matconvnet 做卷积神经网络的平台下,使用CNN算法对辣椒图片进行分类(the classification of papers using CNN under the platform of matconvnet)
Deep-Learning-ToolBox-CNN-master
- 实现CNN的手写字体matlab程序,可调节激活函数,选择loss函数(Realization of handwritten font matlab CNN procedures, can regulate the activation function, loss function)
cnn
- 卷积神经网络(CNN),TensorFlow框架下运行,基于MNIST手写体数据集,可直接运行(Convolutional Neural Network (CNN), run under TensorFlow fr a mework, can run directly based on MNIST handwritten dataset)
BP学习算法在CNN发电机建模中应用
- BP学习算法在CNN发电机建模中应用 Deep learning(the application of BP learning algorithm in modeling off CNN electric machine)
CNN
- 入门级的CNN学习代码,包含了完整的测试数据及注释(Entry-level CNN learning code, including the complete test data and notes)
CNN
- 卷积神经网络matlab代码,内附详细解释。可用于图像识别,数据分类。(this is an zip of matlab code for CNN used for data classification or figure recognization.)
cnn-mnist
- CNN-mnist自制算法,使用卷积神经网络进行计算,准确率99.2(CNN-mnist is a algorithm written by yourself.A convolution neural network is used for calculation, the accuracy rate is 99.2)
刘昕-CNN近期进展与实用技巧
- CNN近期进展与实用技巧。详细介绍了CNN是如何发展的(CNN recent progress and practical skills. It gives a detailed descr iption of how CNN develops)
cnn
- 用CNN识别手写数字集,误差率为1.07%(The handwritten numeric set is identified with CNN, the error rate is 1.07%)
CNN学习算法
- 该文件主要包含了CNN卷及神经网络Matlab算法,该算法主要用于完成机器视觉学习(The paper mainly includes CNN volume and neural network Matlab algorithm, which is used to complete machine vision learning.)
CNN
- 卷积神经网络是近年发展起来,并引起广泛重视的一种高效识别方法。20世纪60年代,Hubel和Wiesel在研究猫脑皮层中用于局部敏感和方向选择的神经元时发现其独特的网络结构可以有效地降低反馈神经网络的复杂性,继而提出了卷积神经网络(Convolutional Neural Networks-简称CNN)。现在,CNN已经成为众多科学领域的研究热点之一,特别是在模式分类领域,由于该网络避免了对图像的复杂前期预处理,可以直接输入原始图像,因
CNN人脸检测VS2015+Opencv310
- CNN人脸检测VS2015+Opencv310(cnn face detection VS2015+Opencv310)
CNN
- CNN contains the desiption of the structure and usage the algorithm
CNN
- 使用cnn提取图像特征,然后用SVM分类,此处没有给出训练集,另外imagenet-caffe-alex部分代码需要注意,需要下载的话把注释掉的代码打开(Using CNN image feature extraction, and then use the SVM classification, there were no given training set, also need to pay attention to imagen
tensorflow-CNN-CIFAR-10-master
- CNN实现图像数据的分类,有数据库下载代码(CNN implements the classification of image data, and there is a database download code)
cnn图像分类
- 基于Tensorflow下的cnn卷积神经网络实现图像的分类(Image classification CNN convolutional neural network based on Tensorflow)
cnn
- TensorFlow框架下cnn 对数据集cifar分类问题(CNN classification for data sets cifar)