搜索资源列表
stackedAutoencoder
- 深度学习中堆栈自编码，栈式自编码。是由多层自编码构成的，深度神经网络(stackedAutoencoder is a deep learning method to deal with many data)
caffe-segnet
- 智能车导航，神经网络学习，适合初学者，可以跨平台使用，需要安装caffe(Intelligent vehicle navigation)
2-rain
- 基于深度学习神经网络模型，对降雨量进行训练和预测(Rainfall prediction based on depth learning)
ShuffleNet-master
- 一种专门为移动端设备而设计的高效卷积神经网络结构——ShuffleNet，这种新结构将点态组卷积（pointwise group convolution）和通道随机混合（channel shuffle）这两种经典方法进行结合与改进，大大提升了计算效率 。(ShuffleNet is an efficient convolutional neural network designed for mobile terminal devices. This new structure combines
boston
- 通过scikit-learn库利用tf.contrib.learn函数生成三层神经网络模型直接对读入数据进行训练并且对于数据可以进行预测。(Through the scikit-learn library, the tf.contrib.learn function is used to generate three layers of neural network model, and the data is trained directly, and the data can be pred
Lenetchange
- 卷积神经网络CNN，基于手写体数据库的相关训练(Convolution neural network, handwriting training)
Tensorflow：实战Google深度学习框架
- 介绍tensorflow的应用，mnist数据，神经网络的简单例子(Describes the application of tensorflow, MNIST data, a simple example of neural networks)
MNIST
- 简单的手写数字识别，在深度神经网络中的简单尝试，对于初学者有个很好的理解(Simple handwritten numeral recognition, in the depth of neural network simple attempt, for beginners have a good understanding)
DeepLearnToolbox-master
- DNN工具包，可以利用MATLAB实现深度神经网络。达到预测的目的(DNN toolkit can implement deep neural network using MATLAB. Achieve the purpose of prediction)
deepmat-master
- DNN程序，可以利用MATLAB实现深度神经网络。包含子程序(DNN program, you can use MATLAB to achieve a deep neural network. Include subroutine)
RerankNER-master
- 这份代码是基于深度神经网络的英文命名实体识别，主要算法是LSTM+CRF(This code is based on deep neural network English named entity recognition LSTM+CRF)
DeepLearnToolbox-master
- 深度学习神经网络matlab最好用的工具箱，包含CNN、DBN、RBM等。代码简单明了非常适合初学者(Deep learning neural network matlab is the best tool kit, including CNN, DBN, RBM and so on. The code is simple and clear for beginners)
qransmite
- 这是书上的常用算法和模型介绍,有BP网络的C语言实现,HMM的C语言实现,失量量化的C语言实现,()
VMDJ
- GTFT在一个无标度网络上的进化博弈,迭代了20代,代数可更改()
测试代码
- BP neuron network 数值算法人工只能深度学习(To describe the Bp neuron network Iris recognization)
新建文件夹 (2)
- 本程序是用python写的一个深度学习程序，该程序实现了卷积神经网络(This procedure is written in python with a deep learning program, the program achieved a convolution neural network)
636614
- 使用遗传算法对BP网络权值阈值进行优化,再用BP算法训练网络()
vereical_spdate
- 网络最短路径Dijkstra算法C++语言,()
DNN_WMMSE
- 使用深度神经网络解决无线网络中资源分配问题(Using deep neural networks to solve the problem of resource allocation in wireless networks)
归档
- 神经网络拟合函数，DNN神经网络，TensorFlow(DNN function, using Tensorflow to conduct it)