# 机器学习作业
x1：写代码不如调库......
x2：干啥啥不行，花哨第一名
## 作业一
- [x] 拟合（梯度下降）
- [x] 分类（双区域）
- [x] 尽量好的代码风格和较为完善的可视化
- [x] 较好看的输出图样式
### 如何使用
1. 运行step0随机生成数据（可选）
2. 运行step1进行分类/拟合
3. 在Data&Result中随时查看数据和结果
## 作业二
- [x] 分类（多区域）
## 作业三
- [x] 手推ANN(BP)算法
## 作业四
- [x] 了解CNN,RNN,LSTM,GAN等任意一种模型以及阅读在其在人工智能一个方面的应用论文（2019-2020顶会论文），以PPT形式，PPT3~15页。
<b><h3>喜欢的话，不妨给个 star~</h3></b>
机器学习大作业：分类和拟合+源代码+文档说明
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2023-12-23
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MachineLearningHomeWork-master(1).zip （88个子文件） 
MachineLearningHomeWork-master .vscode 
settings.json 110B launch.json 492B HomeWork3 ANN-线性不可分问题.md 4KB
ANN-线性不可分问题.pdf 609KB ANN-线性不可分问题.assets 
image-20200604010607154.png 242KB image-20200604003728712.png 93KB image-20200604010608610.png 242KB image-20200604011943135.png 14KB image-20200604005654398.png 233KB HomeWork5 
DataSet3.0alpha.txt 317B TreeStructure 4_out.png 31KB 6_out.png 31KB 8_out.png 33KB 0_out.png 16KB 9_out.png 16KB 2_out.png 56KB 3_out.png 17KB 7_out.png 60KB 5_out.png 60KB 1_out.png 17KB bagging.py 2KB HomeWork2 IrisData-Test.png 22KB ErrorDots.png 34KB IrisData-Train.png 25KB IrisData-Answer.png 23KB MultipleClassification-SVM.py 4KB .idea .name 23B dictionaries .xml 85B Classify-Fitting.iml 449B other.xml 233B vcs.xml 180B vagrant.xml 216B misc.xml 297B statistic.xml 176B inspectionProfiles Project_Default.xml 620B profiles_settings.xml 174B modules.xml 324B .gitignore 176B HomeWork4 Paper_Pack 论文收集.pdf 170KB LSTM ST-LSTM- A Deep Learning Approach Combined Spatio-Temporal Features for Short-Term Forecast in Rail Transit.pdf 1.83MB LSTM-EFG for wind power forecasting based on sequential correlation features.pdf 1.59MB Time series forecasting of petroleum production using deep LSTM recurrent networks.pdf 3.71MB Fault diagnosis of wind turbine based on Long Short-term memory networks.pdf 1.84MB Bio-LSTM- A Biomechanically Inspired Recurrent Neural Network for 3D Pedestrian Pose and Gait Prediction.pdf 2.31MB 论文收集.assets 
header-1e4bd948a119b1c00cd1d536d70cbdf3.svg 7KB 论文收集.md 8KB RNN DeepVM- RNN-Based Vehicle Mobility Prediction to Support Intelligent Vehicle Applications.pdf 1.61MB Toward Safe Retinal Microsurgery- Development and Evaluation of an RNN-Based Active Interventional Control Framework.pdf 6.98MB Transformer Transducer- A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss.pdf 359KB A CNN-RNN Framework for Crop Yield Prediction.pdf 3.92MB Anticipation-RNN- enforcing unary constraints in sequence generation, with application to interactive music generation.pdf 1.53MB MV-RNN- A Multi-View Recurrent Neural Network for Sequential Recommendation Mv-rnn.pdf 5.66MB GAN Feedback GAN for DNA optimizes protein functions.pdf 1.38MB NAttack! Adversarial Attacks to bypass a GAN based classifier trained to detect Network intrusion.pdf 150KB A novel framework for semantic segmentation with generative adversarial network.pdf 2.25MB ET-GAN- Cross-Language Emotion Transfer Based on Cycle-Consistent Generative Adversarial Networks.pdf 701KB P^2-GAN- Efficient Style Transfer Using Single Style Image.pdf 1.91MB LC-GAN- Image-to-image Translation Based on Generative Adversarial Network for Endoscopic Images.pdf 5.65MB CNN Dynamic Graph CNN for Learning on Point Clouds.pdf 10.88MB MonoCap Monocular Human Motion Capture using a CNN Coupled with a Geometric Prior.pdf 7.11MB From BoW to CNN - two decades of texture representation for texture classification.pdf 9.16MB Wasserstein CNN- Learning Invariant Features for NIR-VIS Face Recognition Wasserstein CNN.pdf 4.96MB A 3D CNN-LSTM-Based Image-to-Image Foreground Segmentation.pdf 4.13MB IEEE Transactions on Pattern Analysis and Machine Intelligence.pdf 7.11MB Writer-aware CNN for parsimonious HMM-based offline handwritten Chinese text recognition.pdf 1.39MB A Large-scale Database and a CNN Model for Attention-based Glaucoma Detection.pdf 1.88MB Efficient Deep CNN-Based Fire Detection and Localization in Video Surveillance Applications.pdf 3.75MB Fine-Tuning CNN Image Retrieval with No Human Annotation.pdf 17.94MB Neural Approaches to Dynamics of Signal Exchanges.pdf 17.91MB GETNET- A General End-to-End 2-D CNN Framework for Hyperspectral Image Change Detection.pdf 3.63MB PPT remark-it3.pdf 3.59MB README.md 728B HomeWork1 Step0_CreateData DataForFitting.py 1KB DataForClassify.py 3KB Data&Results Classify ClassifyTrainDots.png 32KB ClassifyTestDots.png 31KB ClassifyTestDots.txt 8KB SVM results.png 37KB 3DResult.png 656KB SVMResult（GradientDEscent）.png 184KB ClassifyTrainDots.txt 8KB Fitting FittingResult.png 60KB FittingData.png 17KB FittingData.txt 4KB Step1_Operate SVM-3D.py 2KB GradientDescentInSVM.py 5KB Classify.py 3KB Fitting.py 3KB资源评论
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