搜索资源列表
cnn
- 用于图像分类的源代码，深度学习的应用，cnn卷积神经网络的使用，可以自己更换数据集或者调优，适合初学者使用！-For image classification of the source code, the application of in-depth learning, cnn convolutional neural network, you can replace the data set or tuning, suitable for beginners!
PPT
- 深度学习，神经网络算法入门，含PPT，matlab教程-Depth learning, neural network algorithm entry containing PPT, matlab tutorials, and more
Artificial-Neural-Networks
- 深度学习，人工神经网络的模型，逐层学习算法，可以构建多层的-deep learning, artificial neural network model, learning algorithm, can construct a multi-layer
AlphaGo
- AlphaGo深度学习源码，用于神经网络深度学习。-AlphaGo deep learning source code for neural network depth learning.
OpenCode_luzhenbo
- [原创]混沌分析,聚类分析,支持向量机,群体智能优化,深度学习(卷积神经网络)Matlab工具箱全开源版本下载 作者: 陆振波 毕业院校：海军工程大学，船舶与海洋工程(水声工程)，博士 精通方向：信号处理，图像处理，人工智能，模式识别，支持向量机，深度学习，机器学习，机器视觉，群体智能，非线性与混沌，Matlab与VC++混编，大数据 擅长技能：团队激励，战略规划，企业文化，组织架构，C，C++，Matlab，OpenCV，并行计算，图像处理，智能视觉，卷积神经网络，人脸检测，行
Neural-Networks-ppt
- 神经网络课件算法，PPT，DNN深度学习-Neural network algorithm courseware, PPT, DNN depth study
detection
- 神经网络 孤立词语 特定人 深度学习 语音识别-Neural network isolated words deep learning particular person voice recognition
SAE_DBN_CNNToolbox
- 多种深度学习框架，主要包括堆栈稀疏自动编码器，深信度网络，卷积神经网络等。对于灰度图像和高维图像，展现非常强大的学习性能。-A variety of deep learning framework, including automatic stack sparse encoder, is convinced of the network, convolution neural networks. For grayscale images and high-dimensional image, s
neutral-network-tensorflow
- 使用tensorflow实现几类深度学习，如卷积神经网络、自回归神经网络、动态神经网络等-Use tensorflow to achieve several kinds of deep learning, such as convolution neural network, recurrent neural network, dynamic neural network
nature-deep-learning
- 世界顶级杂志《自然》，针对人工智能的深度学习进行的最全面综合论述，以及对未来深度学习及神经网络的发展预测，值得一读！-The world s top magazine nature , for the depth of artificial intelligence to learn the most comprehensive exposition, as well as the future development of deep learning and neural network p
monitor-recorder
- SeetaFace人脸识别引擎包括了搭建一套全自动人脸识别系统所需的三个核心模块，即：人脸检测模块SeetaFace Detection、面部特征点定位模块SeetaFace Alignment以及人脸特征提取与比对模块SeetaFace Identification。 主要功能： 人脸检测模块(SeetaFace Detection): 采用了一种结合传统人造特征与多层感知机（MLP）的级联结构，在FDDB上达到了84.4 的召回率（100个误检时），并可在单个i7
deep-learning
- 深度学习主要通过人工神经网络的思想发现数据的分布式特征表示-Deep learning discovers the distributed representation through artificial neural network.
CNN
- CNN 卷积神经网络，是深度学习的理论基础，能帮助加深对深度学习的认识.-CNN is the basis of deep learning. It can help researches to get better understanding of deep learning.
drcn
- 用递归的卷积神经网络方法实现图像的超分辨率重建（深度学习）-Deeply-Recursive Convolutional Network for Image Super-Resolution
NN_tutorial
- 人工神经网络是深度学习的基础，并在图像识别上应用非常多。本代码内容是一个经典的BP网络，S1和S2分别表示中间层和输出层的神经元个数，学习3幅不同类型的图像并输出。-Artificial neural networks are the basis of deep learning and are used in image recognition. The contents of this code is a classic BP network, S1 and S2, respectively
The-source-code
- 基于深度网络学习，利用BP神经网络预测,可以大数据预测-Based on the depth of network learning, the use of BP neural network prediction
DeepLearningBook.pdf
- 深度学习书籍,作者是GAN 网络的创始人，值得一看。将深度学习，神经网络和机器学习讲解的很清楚，不仅仅如此，把深度学习的理论知识讲解的饿很透彻。-Deep learning books, the author is the founder of the GAN network, worth a visit. The depth of learning, neural networks and machine learning to explain very clearly, not only t
CNN_sentence-master
- 将深度学习中的卷积神经网络，用于自然语言处理的情感分析(The convolution neural network in depth learning is used for Natural Language Processing sentiment analysis)
CNN-master
- 深度学习 卷积神经网络 手写体识别 准确率98%(deeplearning CNN handwrite accuracy98%)
DeepLearningImageClassificationExample
- 使用2012Imagenet数据大赛深度学习网络为架构的卷积神经网络，可进行多类数据分类任务(Using the 2012Imagenet Data Contest Deep Learning Network for Architectural Convolution Neural Networks, Multiple Class Data Classification Tasks)