搜索
[FreeCourseSite.com] Udemy - Hyperparameter Optimization for Machine Learning
磁力链接/BT种子名称
[FreeCourseSite.com] Udemy - Hyperparameter Optimization for Machine Learning
磁力链接/BT种子简介
种子哈希:
e1270bf9943f5d333659c423e34e2f74f04c1046
文件大小:
2.89G
已经下载:
1353
次
下载速度:
极快
收录时间:
2022-01-13
最近下载:
2025-01-03
移花宫入口
移花宫.com
邀月.com
怜星.com
花无缺.com
yhgbt.icu
yhgbt.top
磁力链接下载
magnet:?xt=urn:btih:E1270BF9943F5D333659C423E34E2F74F04C1046
推荐使用
PIKPAK网盘
下载资源,10TB超大空间,不限制资源,无限次数离线下载,视频在线观看
下载BT种子文件
磁力链接
迅雷下载
PIKPAK在线播放
91视频
含羞草
欲漫涩
逼哩逼哩
成人快手
51品茶
抖阴破解版
暗网禁地
91短视频
TikTok成人版
PornHub
草榴社区
乱伦社区
少女初夜
萝莉岛
最近搜索
好纯情的小美女
公司性事多
卧槽这对大奶子,极品巨乳技师
中◯教師
she dont want to be saved
sone-436
conmebol
sone-436-cn
91小朗君
night visions
遇到邻居妹子来借水
zukkon
dxiansheng00
imax
cheripisces
百日的
中神通王重阳
超大 无码
帅哥白嫖
极品身材四川辣妹出国留学遇上狂野洋男友+日日操夜夜操+身材越干越棒+系列影片
200 wolf 2024
faye ai
狗停
mad009 青楼美艳花魁 被诱骗强干到挥泪求饶
超骚混血美女主播跟纹身小哥激情做爱直播给狼友看,一众狼友表示看硬了
アンソロジ
vagu187
动漫+gv
率儿
julia james she dont want to be saved
文件列表
06 Bayesian Optimization/006 Sequential Model-Based Optimization.mp4
119.6 MB
08 Scikit-Optimize/014 Optimizing parameters of a CNN.mp4
116.8 MB
06 Bayesian Optimization/017 Scikit-Optimize - Neuronal Networks.mp4
116.8 MB
07 Other SMBO Algorithms/002 SMAC Demo.mp4
104.4 MB
06 Bayesian Optimization/013 Scikit-Optimize - 1-Dimension.mp4
101.9 MB
06 Bayesian Optimization/008 Multivariate Gaussian Distribution.mp4
88.0 MB
06 Bayesian Optimization/011 Acquisition Functions.mp4
86.3 MB
05 Basic Search Algorithms/009 Random Search with Hyperopt.mp4
85.1 MB
04 Cross-Validation/003 Cross-Validation Schemes.mp4
83.7 MB
06 Bayesian Optimization/009 Gaussian Process.mp4
79.9 MB
06 Bayesian Optimization/005 Bayes Rule.mp4
71.1 MB
04 Cross-Validation/004 Cross-Validation for model error estimation - Demo.mp4
69.0 MB
03 Performance metrics/005 Creating your Own Metrics.mp4
67.6 MB
02 Hyperparameter Tuning - Overview/001 Parameters and Hyperparameters.mp4
65.3 MB
01 Introduction/001 Introduction.mp4
64.7 MB
05 Basic Search Algorithms/004 Grid Search - Demo.mp4
62.3 MB
04 Cross-Validation/001 Cross-Validation.mp4
60.5 MB
04 Cross-Validation/005 Cross-Validation for Hyperparameter Tuning - Demo.mp4
59.6 MB
04 Cross-Validation/009 Nested Cross-Validation - Demo.mp4
58.0 MB
02 Hyperparameter Tuning - Overview/002 Hyperparameter Optimization.mp4
53.3 MB
07 Other SMBO Algorithms/007 TPE with Hyperopt.mp4
52.4 MB
04 Cross-Validation/008 Nested Cross-Validation.mp4
52.3 MB
05 Basic Search Algorithms/008 Random Search with Scikit-Optimize.mp4
50.7 MB
06 Bayesian Optimization/004 Joint and Conditional Probabilities.mp4
48.4 MB
03 Performance metrics/004 Scikit-learn Metrics.mp4
48.1 MB
05 Basic Search Algorithms/007 Random Search - Scikit-learn.mp4
46.3 MB
06 Bayesian Optimization/003 Bayesian Inference - Introduction.mp4
45.5 MB
04 Cross-Validation/007 Group Cross-Validation - Demo.mp4
45.4 MB
05 Basic Search Algorithms/002 Manual Search.mp4
45.2 MB
03 Performance metrics/002 Classification Metrics (Optional).mp4
45.0 MB
07 Other SMBO Algorithms/004 TPE Procedure.mp4
44.4 MB
05 Basic Search Algorithms/006 Random Search.mp4
43.0 MB
04 Cross-Validation/006 Special Cross-Validation Schemes.mp4
42.9 MB
08 Scikit-Optimize/006 Random search.mp4
40.0 MB
08 Scikit-Optimize/015 Analyzing the CNN search.mp4
38.9 MB
06 Bayesian Optimization/018 Scikit-Optimize - CNN - Search Analysis.mp4
38.9 MB
06 Bayesian Optimization/014 Scikit-Optimize - Manual Search.mp4
37.7 MB
08 Scikit-Optimize/007 Bayesian search with Gaussian processes.mp4
36.9 MB
01 Introduction/002 Course Curriculum.mp4
36.6 MB
06 Bayesian Optimization/007 Gaussian Distribution.mp4
36.3 MB
07 Other SMBO Algorithms/001 SMAC.mp4
34.2 MB
06 Bayesian Optimization/015 Scikit-Optimize - Automatic Search.mp4
32.4 MB
08 Scikit-Optimize/011 Bayesian search with Scikit-learn wrapper.mp4
32.4 MB
06 Bayesian Optimization/001 Sequential Search.mp4
32.1 MB
06 Bayesian Optimization/010 Kernels.mp4
31.8 MB
08 Scikit-Optimize/010 Parallelizing a bayesian search.mp4
27.4 MB
07 Other SMBO Algorithms/006 TPE - why tree-structured_.mp4
27.1 MB
05 Basic Search Algorithms/001 Basic Search Algorithms - Introduction.mp4
26.7 MB
08 Scikit-Optimize/012 Changing the kernel of a Gaussian Process.mp4
26.3 MB
06 Bayesian Optimization/016 Scikit-Optimize - Alternative Kernel.mp4
26.2 MB
08 Scikit-Optimize/001 Scikit-Optimize.mp4
26.0 MB
08 Scikit-Optimize/003 Hyperparameter Distributions.mp4
25.3 MB
07 Other SMBO Algorithms/005 TPE hyperparameters.mp4
24.4 MB
08 Scikit-Optimize/009 Bayes search with GBMs.mp4
24.1 MB
08 Scikit-Optimize/008 Bayes search with Random Forests.mp4
24.1 MB
06 Bayesian Optimization/002 Bayesian Optimization.mp4
23.5 MB
07 Other SMBO Algorithms/003 Tree-structured Parzen Estimators - TPE.mp4
20.2 MB
05 Basic Search Algorithms/005 Grid Search with different hyperparameter spaces.mp4
19.3 MB
03 Performance metrics/006 Using Scikit-learn Metrics.mp4
18.7 MB
08 Scikit-Optimize/004 Defining the hyperparameter space.mp4
18.0 MB
03 Performance metrics/003 Regression Metrics (Optional).mp4
17.4 MB
05 Basic Search Algorithms/003 Grid Search.mp4
17.1 MB
01 Introduction/003 Course aim and knowledge requirements.mp4
16.3 MB
08 Scikit-Optimize/002 Section Content.mp4
13.1 MB
08 Scikit-Optimize/005 Defining the objective function.mp4
11.1 MB
01 Introduction/004 Course Material.mp4
10.6 MB
03 Performance metrics/001 Introduction.mp4
6.1 MB
06 Bayesian Optimization/006 Sequential Model-Based Optimization.en.srt
20.5 kB
06 Bayesian Optimization/008 Multivariate Gaussian Distribution.en.srt
19.7 kB
06 Bayesian Optimization/013 Scikit-Optimize - 1-Dimension.en.srt
19.2 kB
06 Bayesian Optimization/017 Scikit-Optimize - Neuronal Networks.en.srt
18.8 kB
08 Scikit-Optimize/014 Optimizing parameters of a CNN.en.srt
18.8 kB
04 Cross-Validation/003 Cross-Validation Schemes.en.srt
17.2 kB
06 Bayesian Optimization/009 Gaussian Process.en.srt
16.4 kB
06 Bayesian Optimization/011 Acquisition Functions.en.srt
16.3 kB
06 Bayesian Optimization/005 Bayes Rule.en.srt
14.3 kB
07 Other SMBO Algorithms/002 SMAC Demo.en.srt
14.2 kB
02 Hyperparameter Tuning - Overview/001 Parameters and Hyperparameters.en.srt
14.1 kB
05 Basic Search Algorithms/009 Random Search with Hyperopt.en.srt
13.4 kB
04 Cross-Validation/001 Cross-Validation.en.srt
11.7 kB
03 Performance metrics/005 Creating your Own Metrics.en.srt
11.4 kB
02 Hyperparameter Tuning - Overview/002 Hyperparameter Optimization.en.srt
11.1 kB
04 Cross-Validation/004 Cross-Validation for model error estimation - Demo.en.srt
11.0 kB
05 Basic Search Algorithms/004 Grid Search - Demo.en.srt
10.5 kB
04 Cross-Validation/005 Cross-Validation for Hyperparameter Tuning - Demo.en.srt
10.0 kB
05 Basic Search Algorithms/008 Random Search with Scikit-Optimize.en.srt
10.0 kB
03 Performance metrics/002 Classification Metrics (Optional).en.srt
9.9 kB
05 Basic Search Algorithms/006 Random Search.en.srt
9.7 kB
07 Other SMBO Algorithms/004 TPE Procedure.en.srt
9.6 kB
06 Bayesian Optimization/003 Bayesian Inference - Introduction.en.srt
9.5 kB
05 Basic Search Algorithms/002 Manual Search.en.srt
9.4 kB
06 Bayesian Optimization/004 Joint and Conditional Probabilities.en.srt
9.3 kB
04 Cross-Validation/008 Nested Cross-Validation.en.srt
9.2 kB
06 Bayesian Optimization/007 Gaussian Distribution.en.srt
8.9 kB
04 Cross-Validation/006 Special Cross-Validation Schemes.en.srt
8.9 kB
04 Cross-Validation/009 Nested Cross-Validation - Demo.en.srt
8.8 kB
03 Performance metrics/004 Scikit-learn Metrics.en.srt
8.2 kB
06 Bayesian Optimization/018 Scikit-Optimize - CNN - Search Analysis.en.srt
8.1 kB
08 Scikit-Optimize/015 Analyzing the CNN search.en.srt
8.1 kB
01 Introduction/002 Course Curriculum.en.srt
8.1 kB
06 Bayesian Optimization/010 Kernels.en.srt
8.1 kB
07 Other SMBO Algorithms/007 TPE with Hyperopt.en.srt
8.0 kB
07 Other SMBO Algorithms/001 SMAC.en.srt
7.5 kB
06 Bayesian Optimization/014 Scikit-Optimize - Manual Search.en.srt
7.4 kB
06 Bayesian Optimization/001 Sequential Search.en.srt
7.2 kB
08 Scikit-Optimize/001 Scikit-Optimize.en.srt
7.2 kB
05 Basic Search Algorithms/007 Random Search - Scikit-learn.en.srt
7.0 kB
08 Scikit-Optimize/007 Bayesian search with Gaussian processes.en.srt
6.9 kB
05 Basic Search Algorithms/001 Basic Search Algorithms - Introduction.en.srt
6.7 kB
08 Scikit-Optimize/006 Random search.en.srt
6.6 kB
04 Cross-Validation/007 Group Cross-Validation - Demo.en.srt
6.5 kB
06 Bayesian Optimization/002 Bayesian Optimization.en.srt
5.8 kB
06 Bayesian Optimization/015 Scikit-Optimize - Automatic Search.en.srt
5.5 kB
08 Scikit-Optimize/011 Bayesian search with Scikit-learn wrapper.en.srt
5.5 kB
07 Other SMBO Algorithms/005 TPE hyperparameters.en.srt
5.4 kB
08 Scikit-Optimize/003 Hyperparameter Distributions.en.srt
5.3 kB
07 Other SMBO Algorithms/006 TPE - why tree-structured_.en.srt
4.9 kB
06 Bayesian Optimization/016 Scikit-Optimize - Alternative Kernel.en.srt
4.6 kB
08 Scikit-Optimize/012 Changing the kernel of a Gaussian Process.en.srt
4.6 kB
05 Basic Search Algorithms/003 Grid Search.en.srt
4.6 kB
01 Introduction/001 Introduction.en.srt
4.4 kB
07 Other SMBO Algorithms/003 Tree-structured Parzen Estimators - TPE.en.srt
4.3 kB
03 Performance metrics/003 Regression Metrics (Optional).en.srt
4.2 kB
01 Introduction/009 FAQ.html
3.8 kB
08 Scikit-Optimize/008 Bayes search with Random Forests.en.srt
3.8 kB
08 Scikit-Optimize/009 Bayes search with GBMs.en.srt
3.8 kB
08 Scikit-Optimize/010 Parallelizing a bayesian search.en.srt
3.4 kB
08 Scikit-Optimize/004 Defining the hyperparameter space.en.srt
3.1 kB
01 Introduction/003 Course aim and knowledge requirements.en.srt
3.0 kB
05 Basic Search Algorithms/005 Grid Search with different hyperparameter spaces.en.srt
3.0 kB
08 Scikit-Optimize/002 Section Content.en.srt
2.8 kB
08 Scikit-Optimize/005 Defining the objective function.en.srt
2.6 kB
03 Performance metrics/006 Using Scikit-learn Metrics.en.srt
2.5 kB
01 Introduction/004 Course Material.en.srt
2.3 kB
06 Bayesian Optimization/012 Additional Reading Resources.html
2.3 kB
01 Introduction/005 Jupyter notebooks.html
1.8 kB
01 Introduction/008 Set up your computer - required packages.html
1.7 kB
09 Moving Forward/001 What's next_.html
1.6 kB
03 Performance metrics/001 Introduction.en.srt
1.5 kB
01 Introduction/007 Datasets.html
1.5 kB
08 Scikit-Optimize/013 Optimizing xgboost.html
1.3 kB
01 Introduction/006 Presentations.html
1.2 kB
04 Cross-Validation/002 Bias vs Variance (Optional).html
1.1 kB
0. Websites you may like/[FCS Forum].url
133 Bytes
0. Websites you may like/[FreeCourseSite.com].url
127 Bytes
0. Websites you may like/[CourseClub.ME].url
122 Bytes
随机展示
相关说明
本站不存储任何资源内容,只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符),并提供查询服务,是一个完全合法的搜索引擎系统。 网站不提供种子下载服务,用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责,请用户注意甄别!
>