资源列表
《MATLAB 神经网络43个案例分析》源代码&数据
- 《MATLAB 神经网络43个案例分析》全书源代码和数据，注释详细，神经网络学习很有帮助。内含《MATLAB 神经网络43个案例分析》目录:第1章BP神经网络的数据分类语音特征信号分类;第2章 BP神经网络的非线性系统建模-非线性函数拟合等。(Analysis of 43 Cases of Neural Network in MATLAB source code data, detailed comments. Included in the catalogue of 43 Cases Anal
DeepLearnToolbox-master
- matlab中深度学习工具箱，具有备注，方便易懂(Matlab in-depth learning toolbox, with notes, easy to understand)
VRP算法
- 压缩包里放的是解决车辆路径问题的各种算法，提供给大家参考学习。
MSGAN
- 解决条件GAN中的模式崩溃问题，改善图像生成的多样性。(To solve the problem of mode breakdown in conditional antagonism generation network and improve the diversity of image generation)
教程2第1周编程作业完成版
- 对于深度学习一个简单的例子，对于学习有很大帮助，经过不断修改，查看自己的结果，并且不断学习(A simple example of in-depth learning is very helpful for learning. After constant modification, you can see your own results and keep learning.)
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)
LSTM程序
- 基于LSTM的时间序列预测-原理-python代码(Prediction of time series based on LSTM - principles -python code)
LSTM-prediction
- 通过改进RNN神经网络经典的LSTM模型预测交通流。(prediction traffic flow)
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.)
Autonomous Vehicle Control
- matlab代码生成转向和速度（phi，v）命令，使自主车辆遵循预先定义的路径参考路径（x，y）(Matlab code to generate steering and speed (phi,v) command for an autonomous vehicle to follow a predefined path reference path (x,y))
feature-selection-master
- mRMR(最小冗余最大相关)算法，有说明有源码(mRMR (minimum redundancy maximum correlation))
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)