资源列表
第三代神经网络
- 本文主要介绍深度学习以及复杂layman形式运算的深度网络。通过真实数据的实验，定量比较，证实（或证伪）深度神经网络理论在外汇交易中的优势。当前主要用途是分类，基于深度神经网络模型创建一个指标和一个EA，根据客户端/服务器的方式进行运作，并对它们进行测试。(This paper mainly introduces deep learning and deep network of complex layman form operations. Through real data experime
随机森林算法分类、回归
- 随机森林分类器，matlab写的，直接可以运行，不需要该任何东西，详细看readme和案例。-Random Forest classifier, matlab write, direct run, does not require that anything
sssb
- 实现手势识别 详见文件及注释 % Edit the above text to modify the response to help ShowNShot % Last Modified by GUIDE v2.5 11-May-2012 20:53:53 % Begin initialization code - DO NOT EDIT(Realization of gesture recognition % SHOWNSHOT MATLAB code for Sh
CNN code
- 处理一维振动信号，用于故障分类，模式识别(1D CNN for fault classification)
机器学习课件 周志华
- 周志华机器学习课件，哈哈啊啊啊啊啊啊啊啊啊啊啊啊啊啊(Zhou Zhihua machine learning courseware, haha ah ah ah ah ah ah ah ah ah ah ah ah)
face_recognition-master
- USB摄像头人脸检测与识别，实时分析，实时获取人脸部信息，python语言开发。(Face detection and recognition of USB camera and real-time analysis.)
CIFAR10
- 在CIFAR-10数据集上使用卷积神经网络进行图像分类(Image classification using convolution neural network on CIFAR-10 dataset)
prpd+svm
- 利用SVM优化算法实现变压器局部放电信号prpd模式识别及其特征提取(Prpd pattern recognition and feature extraction of partial discharge signals in transformers based on SVM optimization algorithm)
min-char-rnn-master
- 循环神经网络RNN 实现字符串预测 本教程将以字符预测为例，说明如何利用RNN预测基于当前输入和隐藏状态的下一个字符。(Use recurrent neural network RNN to implement string prediction. This tutorial will use character prediction as example to show how to use RNN to predict next character based on current in
模糊神经网络
- 模糊预测，利用模糊神经网络达到各种预测的目的(fuzzy neural network)
Mine_CNN_MNIST
- 深度学习的部分经典模型，tensorflow1.4，python3.5，有AlexNet，LeNet等(Part of the classic model of deep learning, tensorflow1.4, python3.5, with AlexNet, LeNet, etc.)
Tensorflow_manual_cn
- tensorflow示例代码，人工智能，机器学习(tensorflow machine learning)