资源列表
04.CNN处理CiFar
- 以python语言为基础，利用tensorflow机器学习架构，两层卷积神经网络实现，CiFar数据集图片分类功能。(Based on Python language, using tensorflow machine learning architecture, two-layer convolutional neural network, CiFar data set image classification function.)
AutoEncoder实战
- 深度学习中基于PyTorch架构的AutoEncoder 实例(Examples of AutoEncoder based on the PyTorch architecture in deep learning)
6_2_VGG
- 用thensorflow实现对VGGNET深度卷积神经网络的建立。(The establishment of the VGGNET convolutional neural network is implemented with the thenthraceflow.)
RBF自适应
- 基于梯度下降法RBF自适应神经网络控制(RBF adaptive neural network control based on gradient descent method)
SVM建模
- 介绍三种参数的SVM建模，分别预测股票价格(This paper introduces three parameters of SVM modeling, and predicts stock price separately.)
EKF
- 扩展卡尔曼滤波C语言代码，以及一些矩阵相关操作(Extended Kalman filter C code and some matrix related operations)
CNN_matlab
- 使用matlab2019a深度学习工具箱实现的CNN卷积神经网络分类例程，数据是随机生成的一维随机数(Using the CNN convolution neural network classification routine realized by MATLAB 2019a deep learning toolbox, the data is one-dimensional random number generated randomly)
GBM
- matlab 实现梯度提升决策树。用于能耗预测。(Matlab implements a gradient boosting decision tree. Used for energy forecasting.)
00363947pso-bp
- 一个简单的小例子，是关于pso与神经网络结合的。希望有用(A simple example is about the combination of PSO and neural network. Hope to be useful)
清洁机器人路径规划
- 清洁机器人路径规划matlab仿真程序，采用内螺旋算法，房间抽象为矩阵(Matlab simulation program for cleaning robot path planning, using internal spiral algorithm, room abstraction as matrix)
lstm 成功
- 利用LSTM算法进行数据预测和数据分析，实在不知道说啥了(Use this svm algorithm for data prediction or data processing)
lstm_tensorflow
- tensorflow2.0的Lstm实现(LSTM implementation of tensorflow 2.0)