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585б |
| 0 |
357.36Кб |
| 001 Basic Search Algorithms - Introduction.en.srt |
6.59Кб |
| 001 Basic Search Algorithms - Introduction.mp4 |
25.49Мб |
| 001 Cross-Validation.en.srt |
11.38Кб |
| 001 Cross-Validation.mp4 |
57.71Мб |
| 001 Introduction.en.srt |
1.49Кб |
| 001 Introduction.en.srt |
4.33Кб |
| 001 Introduction.mp4 |
61.72Мб |
| 001 Introduction.mp4 |
5.81Мб |
| 001 Parameters and Hyperparameters.en.srt |
13.72Кб |
| 001 Parameters and Hyperparameters.mp4 |
62.27Мб |
| 001 Scikit-Optimize.en.srt |
7.00Кб |
| 001 Scikit-Optimize.mp4 |
24.80Мб |
| 001 Sequential Search.en.srt |
7.07Кб |
| 001 Sequential Search.mp4 |
30.59Мб |
| 001 SMAC.en.srt |
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| 001 SMAC.mp4 |
32.60Мб |
| 001 What's next_.html |
1.56Кб |
| 002 Bayesian Optimization.en.srt |
5.66Кб |
| 002 Bayesian Optimization.mp4 |
22.41Мб |
| 002 Bias vs Variance (Optional).html |
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| 002 Classification Metrics (Optional).en.srt |
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| 002 Classification Metrics (Optional).mp4 |
42.90Мб |
| 002 Course Curriculum.en.srt |
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| 002 Course Curriculum.mp4 |
34.91Мб |
| 002 Hyperparameter Optimization.en.srt |
10.81Кб |
| 002 Hyperparameter Optimization.mp4 |
50.82Мб |
| 002 Manual Search.en.srt |
9.14Кб |
| 002 Manual Search.mp4 |
43.08Мб |
| 002 Section Content.en.srt |
2.78Кб |
| 002 Section Content.mp4 |
12.49Мб |
| 002 SMAC Demo.en.srt |
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| 002 SMAC Demo.mp4 |
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| 003 Bayesian Inference - Introduction.en.srt |
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| 003 Bayesian Inference - Introduction.mp4 |
43.42Мб |
| 003 Course aim and knowledge requirements.en.srt |
2.91Кб |
| 003 Course aim and knowledge requirements.mp4 |
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| 003 Cross-Validation Schemes.en.srt |
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| 003 Cross-Validation Schemes.mp4 |
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| 003 Grid Search.en.srt |
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| 003 Grid Search.mp4 |
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| 003 Hyperparameter Distributions.en.srt |
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| 003 Hyperparameter Distributions.mp4 |
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| 003 Regression Metrics (Optional).en.srt |
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| 003 Regression Metrics (Optional).mp4 |
16.64Мб |
| 003 Tree-structured Parzen Estimators - TPE.en.srt |
4.24Кб |
| 003 Tree-structured Parzen Estimators - TPE.mp4 |
19.28Мб |
| 004 Course Material.en.srt |
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| 004 Course Material.mp4 |
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| 004 Cross-Validation for model error estimation - Demo.en.srt |
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| 004 Cross-Validation for model error estimation - Demo.mp4 |
65.81Мб |
| 004 Defining the hyperparameter space.en.srt |
3.02Кб |
| 004 Defining the hyperparameter space.mp4 |
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| 004 Grid Search - Demo.en.srt |
10.25Кб |
| 004 Grid Search - Demo.mp4 |
59.37Мб |
| 004 Joint and Conditional Probabilities.en.srt |
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| 004 Joint and Conditional Probabilities.mp4 |
46.17Мб |
| 004 Scikit-learn Metrics.en.srt |
7.96Кб |
| 004 Scikit-learn Metrics.mp4 |
45.86Мб |
| 004 TPE Procedure.en.srt |
9.40Кб |
| 004 TPE Procedure.mp4 |
42.31Мб |
| 005 Bayes Rule.en.srt |
14.00Кб |
| 005 Bayes Rule.mp4 |
67.82Мб |
| 005 Creating your Own Metrics.en.srt |
11.15Кб |
| 005 Creating your Own Metrics.mp4 |
64.46Мб |
| 005 Cross-Validation for Hyperparameter Tuning - Demo.en.srt |
9.81Кб |
| 005 Cross-Validation for Hyperparameter Tuning - Demo.mp4 |
56.82Мб |
| 005 Defining the objective function.en.srt |
2.51Кб |
| 005 Defining the objective function.mp4 |
10.57Мб |
| 005 Grid Search with different hyperparameter spaces.en.srt |
2.90Кб |
| 005 Grid Search with different hyperparameter spaces.mp4 |
18.40Мб |
| 005 Jupyter notebooks.html |
1.78Кб |
| 005 TPE hyperparameters.en.srt |
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| 005 TPE hyperparameters.mp4 |
23.24Мб |
| 006 Presentations.html |
1.15Кб |
| 006 Random search.en.srt |
6.43Кб |
| 006 Random Search.en.srt |
9.52Кб |
| 006 Random search.mp4 |
38.18Мб |
| 006 Random Search.mp4 |
41.03Мб |
| 006 Sequential Model-Based Optimization.en.srt |
19.98Кб |
| 006 Sequential Model-Based Optimization.mp4 |
114.09Мб |
| 006 Special Cross-Validation Schemes.en.srt |
8.65Кб |
| 006 Special Cross-Validation Schemes.mp4 |
40.92Мб |
| 006 TPE - why tree-structured_.en.srt |
4.79Кб |
| 006 TPE - why tree-structured_.mp4 |
25.82Мб |
| 006 Using Scikit-learn Metrics.en.srt |
2.45Кб |
| 006 Using Scikit-learn Metrics.mp4 |
17.81Мб |
| 007 Bayesian search with Gaussian processes.en.srt |
6.77Кб |
| 007 Bayesian search with Gaussian processes.mp4 |
35.17Мб |
| 007 Datasets.html |
1.45Кб |
| 007 Gaussian Distribution.en.srt |
8.72Кб |
| 007 Gaussian Distribution.mp4 |
34.59Мб |
| 007 Group Cross-Validation - Demo.en.srt |
6.34Кб |
| 007 Group Cross-Validation - Demo.mp4 |
43.32Мб |
| 007 Random Search - Scikit-learn.en.srt |
6.87Кб |
| 007 Random Search - Scikit-learn.mp4 |
44.19Мб |
| 007 TPE with Hyperopt.en.srt |
7.78Кб |
| 007 TPE with Hyperopt.mp4 |
49.98Мб |
| 008 Bayes search with Random Forests.en.srt |
3.74Кб |
| 008 Bayes search with Random Forests.mp4 |
22.99Мб |
| 008 Multivariate Gaussian Distribution.en.srt |
19.23Кб |
| 008 Multivariate Gaussian Distribution.mp4 |
83.91Мб |
| 008 Nested Cross-Validation.en.srt |
9.00Кб |
| 008 Nested Cross-Validation.mp4 |
49.92Мб |
| 008 Random Search with Scikit-Optimize.en.srt |
9.80Кб |
| 008 Random Search with Scikit-Optimize.mp4 |
48.32Мб |
| 008 Set up your computer - required packages.html |
1.61Кб |
| 009 Bayes search with GBMs.en.srt |
3.68Кб |
| 009 Bayes search with GBMs.mp4 |
23.02Мб |
| 009 FAQ.html |
3.76Кб |
| 009 Gaussian Process.en.srt |
16.02Кб |
| 009 Gaussian Process.mp4 |
76.24Мб |
| 009 Nested Cross-Validation - Demo.en.srt |
8.64Кб |
| 009 Nested Cross-Validation - Demo.mp4 |
55.34Мб |
| 009 Random Search with Hyperopt.en.srt |
13.09Кб |
| 009 Random Search with Hyperopt.mp4 |
81.12Мб |
| 010 Kernels.en.srt |
7.89Кб |
| 010 Kernels.mp4 |
30.29Мб |
| 010 Parallelizing a bayesian search.en.srt |
3.31Кб |
| 010 Parallelizing a bayesian search.mp4 |
26.09Мб |
| 011 Acquisition Functions.en.srt |
15.94Кб |
| 011 Acquisition Functions.mp4 |
82.32Мб |
| 011 Bayesian search with Scikit-learn wrapper.en.srt |
5.41Кб |
| 011 Bayesian search with Scikit-learn wrapper.mp4 |
30.92Мб |
| 012 Additional Reading Resources.html |
2.23Кб |
| 012 Changing the kernel of a Gaussian Process.en.srt |
4.53Кб |
| 012 Changing the kernel of a Gaussian Process.mp4 |
25.04Мб |
| 013 Optimizing xgboost.html |
1.23Кб |
| 013 Scikit-Optimize - 1-Dimension.en.srt |
18.76Кб |
| 013 Scikit-Optimize - 1-Dimension.mp4 |
97.22Мб |
| 014 Optimizing parameters of a CNN.en.srt |
18.37Кб |
| 014 Optimizing parameters of a CNN.mp4 |
111.37Мб |
| 014 Scikit-Optimize - Manual Search.en.srt |
7.25Кб |
| 014 Scikit-Optimize - Manual Search.mp4 |
35.92Мб |
| 015 Analyzing the CNN search.en.srt |
7.95Кб |
| 015 Analyzing the CNN search.mp4 |
37.08Мб |
| 015 Scikit-Optimize - Automatic Search.en.srt |
5.41Кб |
| 015 Scikit-Optimize - Automatic Search.mp4 |
30.94Мб |
| 016 Scikit-Optimize - Alternative Kernel.en.srt |
4.53Кб |
| 016 Scikit-Optimize - Alternative Kernel.mp4 |
25.03Мб |
| 017 Scikit-Optimize - Neuronal Networks.en.srt |
18.37Кб |
| 017 Scikit-Optimize - Neuronal Networks.mp4 |
111.35Мб |
| 018 Scikit-Optimize - CNN - Search Analysis.en.srt |
7.95Кб |
| 018 Scikit-Optimize - CNN - Search Analysis.mp4 |
37.08Мб |
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| TutsNode.com.txt |
63б |