搜索资源列表
test_example_CNN
- 创建一个深度卷积神经网络，该函数用于检测样本-Create a deep convolution neural network, this function is used to test sample
cnnsetup
- 建立一个深度卷积神经网络，该函数用于初始化神经网络的参数-Establish a depth of convolution neural network, this function is used to initialize the parameters of the neural network
matlab-Deep-Learn
- MATLAB神经网络经典程序 包括多个神经网络程序、深度学习程序-MATLAB neural network program including mutil network and deep learning program
cnncoder
- 深度学习中的卷积神经网络代码,包括前向后向反馈以及训练应用等-caffe deep learning
NN
- 深度学习的NN神经网络，加了改进的梯度，自己可以下载数据测试，如有不懂请联系本人-Depth study of the neural network NN, plus improved gradient, you can download the data to test, if I do not understand, please contact
DeepLearnToolbox-master
- 这是深度学习的常用工具箱，里面包括常用的自动编码器、卷积神经网络和深度置信网络的函数- This is a common toolbox depth study, which includes functions commonly used automatic encoder, convolutional neural network and depth of belief networks
CNN
- 深度学习的卷积神经网络的MATLAB代码实现，数据为MNIST标准库。-it s a code in CNN with matlab.the is the MNIST.
DBN
- 深度信念网络 (Deep Belief Network, DBN) 由 Geoffrey Hinton 在 2006 年提出。它是一种生成模型，通过训练其神经元间的权重，我们可以让整个神经网络按照最大概率来生成训练数据。我们不仅可以使用 DBN 识别特征、分类数据，还可以用它来生成数据。下面的图片展示的是用 DBN 识别手写数字： -Depth belief networks (Deep Belief Network, DBN) proposed by the Geoffrey Hinton i
Training-code-for-SRCNN
- 超分辨卷积神经网络，深度学习，MATLAB代码，获取深度学习的训练数据-Super-resolution convolution neural network, the depth of learning, MATLAB code, get deep learning of the training data
Test-code-for-SRCNN
- 深度学习，超分辨卷积神经网络，获取测试数据的MATLAB代码-Depth study, the super-resolution convolution neural network, access to test data MATLAB code
M-Tool-CNNs
- 深度学习之一，卷积神经网络例程，包括结构设置、系数更新、测试数据库等。-One deep learning, neural network convolution routines, including structural arrangement, the coefficient update, test s.
Neural-Networks-and-Deep-Learning
- 很好的深度学习与神经网络教程，适合深度学习的初学者-Good depth and neural network learning tutorial for beginners to learn the depth of
BP_GPU
- 神经网络BP算法GPU实现，深度学习、模式识别与机器学习领域-BP neural network algorithm GPU implementation, the depth of learning, pattern recognition and machine learning.
CNNDEMO
- 卷积人工神经网络，是一种基于深度学习的重要代码为图像的解析提供了很好的应用方向-Convolutional neural network is an important code based on the depth of the study of the code for the image analysis provides a good application direction
cnn
- 机器学习下深度学习中的卷积神经网络，写的挺好的-Under machine learning convolution depth learning neural networks, written in very good shape
SRCNN
- 深度卷积神经网络超分辨，来自于ECCV2014一篇文章的代码，代码好用-Depth of the convolutional neural network super resolution, the ECCV2014 an article of the code, code easy to use
cnn_tutorial.pdf
- 本文档讨论和实现了卷积神经网络， 并且进行了延伸。非常重要的资料，对于深度学习有很重要的借鉴意义。 -This document discusses the derivation and implementation of convolutional neural networks (CNNs), followed by a few straightforward extensions. Convolutional neural networks involve many more connec
NN-and-DL.pdf
- 神经网络和深度学习基础讲义，可作为基本概念的理解与学习。-Neural Networks and Deep Learning
DBNtoolbox-master
- 深度学习DBN（深信度网络）代码，概率生成模型，与传统的判别模型的神经网络相对，生成模型是建立一个观察数据和标签之间的联合分布。-Deep learning DBN (Convinced of the network) code generation probability model, and neural network models of traditional discrimination relatively generated model is to establish a join
caffe-regression-master
- 人脸特征点定位，将深度学习运用到人脸对齐中，卷积神经网络 -Facial features localization, depth learning to use face alignment, the convolutional neural network