# DaSE-Deep-Learning
2021 Spring (Deep Learning) 深度学习课程作业及资料
Labs:
1. Linear Regression（线性回归）
2. Linear Regression+Regularization（线性回归+正则化项）
3. Simple Neural Net（简单实现神经网络）
4. Cifar-10 Classification（Cifar-10图像分类）
5. Name-Country Prediction（人名国籍识别）
6. Dimensionality Reduction（降维）
7. GMM & Kmeans
Final Project 请见 [PUBG-Finish-Placement-Prediction](https://github.com/QiushiSun/PUBG-Finish-Placement-Prediction)
DaSE-Deep-Learning-main.zip （62个子文件） 
DaSE-Deep-Learning-main Lab7-GMM&Kmeans 
.DS_Store 6KB
Kmeans-Cluster-vis.png 75KB Kmeans-Vis.png 85KB GMM-Vis.png 83KB GMM-Model-Selection.png 30KB Exp7-submit.ipynb 659KB GMM-Clusters.png 63KB Gmm-Cluster-vis.png 115KB .DS_Store 10KB Lab5-Name-Country Prediction bi-uni-gru-loss-compare.png 68KB name-country-train.csv 186KB Exp5_submit.ipynb 418KB bi-uni-gru-accuracy-compare.png 24KB Exp5-Appendix.ipynb 47KB name-country.csv 224KB name-country-valid.csv 38KB gru_classifier_v2.bin 0B init_compare.png 69KB GRU-struct.png 45KB Lab6-Dimensionality-Reduction 
mnist.zip 15.23MB Exp6-submit.ipynb 4.63MB .DS_Store 6KB MNIST-Pca-visualization.png 608KB time_component.png 23KB MNIST-Tsne-visualization.png 675KB knn_accuracy.png 22KB MNIST-Lda-visualization.png 596KB MNIST.png 220KB .ipynb_checkpoints visualize-checkpoint.py 3KB Exp6-submit-checkpoint.ipynb 211KB EigVal.png 66KB visualize.py 3KB Lab1-linear-regression train_data.csv 119KB test_data.csv 51KB Exp1-submit.ipynb 117KB Lab4-Cifar-10-classification Relu_training_loss.png 31KB Validation_acc.png 25KB Tanh_model_structure.png 280KB Cifar-10-visualize.png 181KB Relu_Tanh_Compare.png 56KB Relu_model_structure.png 259KB Exp4-Submit.ipynb 455KB Lab3-simple-neural-net Init_compare_lr0.1.png 31KB train_data.csv 73.18MB Adam.png 31KB RMSProp.png 28KB AdaGrad.png 23KB Exp3_submit.ipynb 187KB Init_compare_lr0.01.png 26KB Related Papers 
Delving Deep into Rectifiers Surpassing Human-Level Performance on ImageNet Classification.pdf 1.85MB Understanding the difficulty of training deep feedforward neural networks.pdf 1.57MB Lab2-linear-regression-reg train_data.csv 118KB test_data.csv 51KB output_12_0.png 29KB output_27_7.png 27KB output_27_9.png 25KB output_27_1.png 29KB output_22_0.png 28KB Exp2-submit.ipynb 297KB output_27_3.png 33KB output_27_5.png 34KB README.md 543B资源评论
