资源列表
PSO_adaptation
- 改进型粒子群PSO优化算法MATLAB代码，基于权重改进速度，已封装为函数(Improved particle swarm optimization algorithm PSO MATLAB code, based on the speed of weight improvement, has been encapsulated as a function.)
GA_qiujizhi
- 利用遗传算法求函数的极小值，并画出种群图形，显示最优的结果
朴素贝叶斯算法资料
- 朴素贝叶斯算法的相关资料，包含算法以及实验结果等。(The related data of the naive Bayes algorithm.)
LeNet神经网络
- 程序主要包括三个部分：mnist_.inference.py、mnist.train.py和mnist.test.py。mnist.inference.py主要定义前向传播的过程以及神经网络中的参数；mnist.train.py定义了LeNet-5模型的训练过程，并保存训练结束后的最终的模型（持久化）；mnist.test.py中对测试数据进行测试，计算LeNet模型在MNIST测试集的正确率。
AttentionalPoolingAction-master
- 行为识别中的attention pooling方法(attention pooling in action recognition)
DeepLearnToolbox-master
- 集中经典的DeepLearning算法 CNN SAE DBN等(Deep Learning CNN SAE DBN Several classic DeepLearning algorithms CNN SAE DBN etc)
rcnn_car_object_detection
- 基于深度学习的汽车目标检测，所需matlab版本为2017(Deep Learning Based Vehicle Target Detection)
ChineseNER-master
- BiLSTM+CNN结构实现中文命名实体识别(implement Chinese NER with BiLSTM+CNN architecture)
FaceRecognition-master
- 卷积神经网络实现人脸识别，是用Python写的(Face recognition by convolution neural network)
iris
- 文件包含鸢尾花csv数据集以及鸢尾花项目代码的py文件以及txt文件(The file contains the iris CSV dataset and the PY file and the txt file of the iris project code.)
DeepNeuralNetwork20160805
- 基于深度神经网络代码，基础入门，比较实用。。。。(Code based on deep learning neural network)
people faces
- 用卷积神经网络（CNN）实现人脸识别，效果还可以，一个是training的程序，可以训练网络。一个是use程序，可以识别人脸(Using convolution neural network (CNN) to achieve face recognition, the effect is also available, one is the training program, can train the network. One is a use program that recognizes