资源列表
music_transcription_MAPS-master
- PyTorch机器学习音乐分类，导入wav和txt进行机器学习，运行项目的命令行和需要的音乐文件都在在压缩包里，项目可以直接运行。(PyTorch machine learns music classification, imports wav and TXT for machine learning, runs the command line of the project and the required music files in the compressed package, and
AFLW2000数据集
- 包含了AFLW数据集中的前两千张头像，主要用于头部偏转或头部检测实验，2D、3D检测都可以，包含了大角度。
脑电信号数据集
- 里面有一种脑电信号数据集，且分为训练集和测试集，格式为mat格式，可以直接用来Matlab的使用。
imgtest4
- hog+svm和基于中值建模的背景差分法的行人检测-hog+svm and pedestrians modeled based on the median background subtraction method to detect
alexnet_test
- 因上传文件大小的限制,仅包含了cifar10部分数据集,将32*32*3扩展到227*227*3,然后完全使用alexnet,短时间训练,可达75%的准确率(Due to the limitation of uploaded file size, it contains only part of cifar10 data set, extends 32*32*3 to 227*227*3, and then uses alexnet completely, and training for a
imageRecognises
- Python编程Keras训练神经网络,识别猫狗图片(Python programming and Keras training neural network,recognition the cat or dog in the picture.)
TensorFlow
- TensorFlow入门资料，源码加笔记(TensorFlow introductory information, source code and notes)
adm 算法的caffe代码
- caffe实现ADM算法，加了个人理解的注释，希望对大家有帮助
DNN_toolbox
- 语音分离用的深度神经网络工具箱，matlab，非常全 -This folder contains Matlab programs for a toolbox for supervised speech separation using deep neural networks (DNNs).
DNN
- 使用神经网络进行语音增强，包括语音特征提取，DNN，语音重构(Speech enhancement using neural networks)
python
- python基础教程，python实战项目，非常适用的教程，适合初学者(Python basic tutorial, python combat project, very applicable tutorial, suitable for beginners.)
周志华-机器学习_
- 入门级别的机器,内容较多，篇幅较长，请耐心学习，高清的可以自kindle中看(The introduction level machine, the content is more, the length is longer, please be patient to study, the high definition can see from the Kindle.)