搜索资源列表
function-RbmX
- 人工智能深度学习中限制玻尔兹曼机源代码,matlab程序-Artificial Intelligence depth study limitations Boltzmann machine source code, matlab program
deep-learn-Autoencoder_Code
- 深度学习的自编码器MATLAB程序。需根据文档内说明进行相关文件下载并配置-Depth of learning from the encoder MATLAB. To be based on the relevant documents within a document instructions to download and configure
autocode
- matlab实现的深度学习代码,autocode-a code for deeplearing,autocode
dbn DBN
- dbn DBN深度学习(波尔兹曼机DBM学习,一种新型神经网络)的matlab源码,可用于模式识别,图像处理等领域。
DeepLearn
- matlab写的一个深度学习的框架,主要用来学习深度学习,主要包括cnn、nn、dbn等,代码详细,且都含有demo,很实用
DeepNeuralNetwork20160805
- 上传的文档为matlab环境下的深度神经网络的学习资料(DeepNeuralNetwork by matlab)
lab_example_SAE2
- 与通用的matlab深度学习工具箱有些许不同,是matlab2017A中的程序,可以运行多个SAE(Somewhat different from the universal matlab depth learning toolkit, it's a program in matlab2017A that runs multiple SAE)
深度学习模型(卷积神经网络,深信度网络和堆栈稀疏自动编码器)
- 深度学习网络,包含卷积神经网络,深信度神经网络,和堆栈稀疏自动编码器等
deepsae
- 构建深度sae网络,数据特征提取及分类,自定义网络结构参数(about deepsae code and an example, ex1 train a 100 hidden unit SDAE and use it to initialize a FFNN)
RBMLIB_DBN
- 限制玻尔兹曼机和深度信念网络的matlab代码,有具体例子(matlab code Restricted Boltzmann machine and Deep Belief networks, with specific examples)
caffeimporter
- matlab2017b中新增了许多深度学习算法,其中对与caffe平台的连接也做了优化,此文件为对应的caffeimporter工具箱,可在matlab中直接安装,用法擦看2017b中的相关文档(matlab2017b added a number of new depth learning algorithm, which also made the connection with the caffe platform has also been optimized, this file is
kerasimporter
- matlab2017b中新增了许多深度学习的算法,对与keras的链接做了一定的优化,该文件是keras在matlab中的工具箱,可以在matlab中直接安装,详细使用查阅2017b的相关文档(matlab2017b added a lot of depth learning algorithm, and keras link made a certain degree of optimization, the file is keras matlab in the toolbox, you c
吴恩达深度学习基础教程
- 吴恩达教授有关深度学习浅显易懂的算法介绍,包括基础算法和示例。(Deep learning algorithms introduction by Andrew Ng.)
Matlab-code-for-Deeplearning
- LightNet是一个轻量级、多功能、纯粹的基于MATLAB的深度学习代码,附论文和代码,已运行跑通。(LightNet is a lightweight, multi-functional, pure MATLAB based deep learning code, with paper and code, running run.)
基于深度学习的汽车目标检测
- 通过使用Matlab软件,实现了基于深度学习的汽车目标检测。(By using Matlab software, vehicle detection based on deep learning is realized.)
Exercise-dp-learning
- 深度学习例子,共五个,逻辑回归,线性回归等等(deep learning examples)
MATLAB深度学习简介
- 简单的介绍什么是深度学习、深度学习的应用场景等基础知识,帮助我们快速入门该领域(Briefly introduce what is the basic knowledge of deep learning, deep learning application scenarios, and help us quickly get started in this field.)
DeepLearnToolbox
- 深度学习工具包,解压到Toolbox里面直接用(Deep learning toolkit, decompressed into Toolbox for direct use)
BCI_MI_CSP_DNN
- BCI_MI_CSP_DNN是一种基于matlab的运动图像脑电信号分类程序。 基于matlab深度学习工具箱编写了BCI_MI_CSP_DNN程序 本程序的原理基于CSP和DNN算法 这个程序的性能是基于BCI竞赛II数据集II 提出了一种基于深度学习的运动图像脑电信号分类方法。在预处理原始脑电图信号的基础上,采用共空间模型(CSP)方法提取脑电图特征矩阵,并将其输入深度神经网络(DNN)进行训练和分类。我们的工作在BCI Competition II Dataset III上进行了实
神经网络3
- 人工智能分割图像方法,运用深度学习实现,程序可直接使用(The method of image segmentation based on artificial intelligence and realized by deep learning)