PhD_DNNpractice：博士生物信息学的DNN实践
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2021-02-18
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PhD_DNNpractice-master.zip （49个子文件） 
PhD_DNNpractice-master presentation 
2021_report_pre_New.pptx 355KB code 
lrmix_week9.R 14KB week4_bayesianNN_logistic.py 12KB week7_coefficients_predictor.py 12KB week5_pytorch_lightning_tutorial.py 2KB week7_benchmark_nonlinear.py 14KB week3_dataset_simulation.py 6KB Jan2021_lossconvergence_plot.py 2KB week3_LogisticRegression_performance.py 22KB LR_FEVdataset.R 5KB week2.py 3KB week1.py 7KB Feb2021_LRregularised.py 12KB Report_plots.R 10KB week3_bayesian_NN_tutorial.py 4KB week5_lightning_NN.py 8KB PyTorch_tutorial.py 11KB week9_lrmixR_reproduce.py 7KB week6_test_benchmark.py 13KB Feb_X_MVN_regularised.py 12KB notebook Week1_DNN_LogisticRegression.ipynb 18KB Week3_LR_performance.ipynb 22KB week7_fitcoefficients_predictor.ipynb 19KB week4_LRperformance_NN_DE_Bayesian.ipynb 45KB plots 
plot1_uniform.png 124KB LRregularised_MVN_BCE.png 106KB plot2_uniform.png 117KB plot3_logistic_NN_features.png 72KB Python_plots.png 81KB NN_NNregular.png 60KB plot5_logistic_NN_features.png 99KB MVN_0.5.png 83KB LogisticRegression_Example.png 93KB LRregularised_MVN.png 97KB plot6_logistic_NN_features.png 106KB plot1_logictic_NN_features.png 104KB Loss_convergence.png 32KB NN_logistic_example.png 77KB plot4_logistic_NN_features.png 98KB Feb_regularised_UCI.py 6KB plot2_logistic_NN_features.png 86KB LRregularised1.png 76KB LinearRegression_example.png 75KB LRregularised2.png 79KB Feb_X_MVN_regularised.py 11KB README.md 72B Feb2021_LRregularised.py 12KB Feb_regularised_UCI.py 6KB Feb_X_MVN_regularised.py 13KB资源评论
