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【影视】 Emergence.S01E11.Applied.Sciences.720p.AMZN.WEBRip.DDP5.1.x264-NTb[rarbg]

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Emergence.S01E11.Applied.Sciences.720p.AMZN.WEB-DL.DDP5.1.H.264-NTb.mkv 1.5 GB
RARBG_DO_NOT_MIRROR.exe 99 Bytes
RARBG.txt 30 Bytes

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【压缩文件】 Applied.Acoustics.Systems.Ultra.Analog.VA-2.v2.2.3.Incl.Keygen.WiN.OSX

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ultra-analog-va-2-v223.dmg 29.8 MB
Ultra Analog VA-2 Installer.exe 26.6 MB
Ultra Analog VA-2 Manual.pdf 3.8 MB
AiR Keygen.exe 78.3 kB

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【安装包】 Applied Acoustics Systems - Plugin Bundle VSTi, VSTi3 x64 (NO INSTALL, SymLink Installer) [04.2019].exe

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Applied Acoustics Systems - Plugin Bundle VSTi, VSTi3 x64 (NO INSTALL, SymLink Installer) [04.2019].exe 70.4 MB

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【影视】 Emergence.S01E11.Applied.Sciences.1080p.AMZN.WEB-DL.DDP5.1.H.264-NTb[TGx]

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Emergence.S01E11.Applied.Sciences.1080p.AMZN.WEB-DL.DDP5.1.H.264-NTb.mkv 3.1 GB
Emergence.S01E11.Applied.Sciences.1080p.AMZN.WEB-DL.DDP5.1.H.264-NTb.nfo 1.6 kB
[TGx]Downloaded from torrentgalaxy.to .txt 689 Bytes

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【文档书籍】 Applied ASP.NET 4 in Context - A. Freeman (Apress, 2011) BBS.pdf

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Applied ASP.NET 4 in Context - A. Freeman (Apress, 2011) BBS.pdf 63.6 MB

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【压缩文件】 Lynda.com - Applied Responsive Design

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ExerciseFiles.rar 431.1 MB
3. Responsive Navigation/114899_03_10_MM11_touch.MP4 70.9 MB
4. Creating Responsive Media/114899_04_01_SC11_fluidImage.MP4 63.0 MB
4. Creating Responsive Media/114899_04_06_SC11_styleGallery.MP4 54.1 MB
3. Responsive Navigation/114899_03_12_MM11_conflicts.MP4 51.1 MB
2. Building Responsive Layouts/114899_02_02_SC11_default.MP4 50.4 MB
2. Building Responsive Layouts/114899_02_03_SC11_breakpoints.MP4 50.1 MB
1. Planning Responsive Designs/114899_01_05_SC11_multiple.MP4 48.0 MB
4. Creating Responsive Media/114899_04_03_SC11_useCSS.MP4 47.8 MB
2. Building Responsive Layouts/114899_02_08_SC11_refineDesktop.MP4 45.6 MB
6. Managing Resources/114899_06_02_SC11_loading.MP4 40.1 MB
4. Creating Responsive Media/114899_04_07_SC11_functionality.MP4 39.5 MB
3. Responsive Navigation/114899_03_05_SC11_comStructure.MP4 38.5 MB
1. Planning Responsive Designs/114899_01_01_SC11_content.MP4 37.5 MB
3. Responsive Navigation/114899_03_03_SC11_basicStyle.MP4 36.9 MB
3. Responsive Navigation/114899_03_15_SC11_conMenu.MP4 36.5 MB
2. Building Responsive Layouts/114899_02_09_SC11_refineTablet.MP4 35.6 MB
3. Responsive Navigation/114899_03_16_MM11_conSelect.MP4 35.1 MB
1. Planning Responsive Designs/114899_01_03_SC01_planningUX.MP4 34.4 MB
3. Responsive Navigation/114899_03_08_SC11_minSmall.MP4 33.5 MB

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【文档书籍】 Applied Anatomy and Physiology for Manual Therapists 1E.pdf

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Applied Anatomy and Physiology for Manual Therapists 1E.pdf 150.2 MB

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【影视】 [UdemyCourseDownloader] The Complete Self-Driving Car Course - Applied Deep Learning

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14. Behavioural Cloning/11. Generator - Augmentation Techniques.mp4 399.4 MB
12. Classifying Road Symbols/3. Preprocessing Images.mp4 346.5 MB
14. Behavioural Cloning/2. Collecting Data.mp4 296.1 MB
11. Convolutional Neural Networks/8. Code Implementation I.mp4 266.9 MB
14. Behavioural Cloning/13. Fit Generator.mp4 260.5 MB
9. Multiclass Classification/4. Implementation.mp4 257.2 MB
11. Convolutional Neural Networks/3. Convolutional Layer.mp4 241.0 MB
11. Convolutional Neural Networks/9. Code Implementation II.mp4 223.8 MB
8. Deep Neural Networks/7. Code Implementation.mp4 214.2 MB
14. Behavioural Cloning/7. Defining Nvidia Model.mp4 208.2 MB
10. MNIST Image Recognition/5. Implementation Part 1.mp4 203.4 MB
7. Keras/4. Keras Models.mp4 183.8 MB
14. Behavioural Cloning/10. Self Driving Car - Test 1.mp4 174.0 MB
5. Computer Vision Finding Lane Lines/11. Optimizing.mp4 172.5 MB
11. Convolutional Neural Networks/5. Pooling.mp4 169.8 MB
14. Behavioural Cloning/6. Preprocessing Images.mp4 169.6 MB
12. Classifying Road Symbols/8. Fit Generator.mp4 167.6 MB
10. MNIST Image Recognition/6. Implementation Part 2.mp4 163.5 MB
7. Keras/5. Keras - Predictions.mp4 151.5 MB
9. Multiclass Classification/2. Softmax.mp4 148.6 MB

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【文档书籍】 General, Organic, and Biochemistry_ An Applied Approach[Dr.Soc].pdf

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General, Organic, and Biochemistry_ An Applied Approach[Dr.Soc].pdf 131.1 MB

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【压缩文件】 Journal of Applied Polymer Science

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2015 v.132.rar 1.8 GB
2014 v.131.rar 1.6 GB
2016 v.133.rar 1.6 GB
2017 v.134.rar 1.2 GB
2012 v.125.rar 966.7 MB
2012 v.124.rar 922.0 MB
2013 v.127.rar 853.6 MB
2013 v.130.rar 590.5 MB
2013 v.128.rar 575.6 MB
2012 v.123.rar 544.1 MB
2012 v.126.rar 503.6 MB
2013 v.129.rar 485.5 MB
2010 v.118.rar 391.2 MB
2011 v.122.rar 388.7 MB
2011 v.120.rar 381.8 MB
1996 v.060.rar 343.7 MB
2010 v.117.rar 332.4 MB
2011 v.119.rar 326.9 MB
1982 v.027.rar 309.1 MB
2006 v.102.rar 301.5 MB

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【影视】 dorcelclub.17.12.13.alexis.brill.an.applied.student.mp4

收录时间:2020-02-12 文档个数:1 文档大小:456.8 MB 最近下载:2025-01-12 人气:2611 磁力链接

dorcelclub.17.12.13.alexis.brill.an.applied.student.mp4 456.8 MB

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【文档书籍】 Encyclopedia of Applied Electrochemistry - Gerhard Kreysa et al. (Springer, 2014).pdf

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Encyclopedia of Applied Electrochemistry - Gerhard Kreysa et al. (Springer, 2014).pdf 78.7 MB

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【影视】 6.041 Probabilistic Systems Analysis and Applied Probability - MIT

收录时间:2020-02-12 文档个数:138 文档大小:5.7 GB 最近下载:2024-11-02 人气:139 磁力链接

11. Derived Distributions (ctd.); Covariance.mp4 318.8 MB
18. Markov Chains III.mp4 317.7 MB
7. Discrete Random Variables III.mp4 314.1 MB
20. Central Limit Theorem.mp4 313.6 MB
13. Bernoulli Process.mp4 312.4 MB
9. Multiple Continuous Random Variables.mp4 310.2 MB
17. Markov Chains II.mp4 307.7 MB
5. Discrete Random Variables I.mp4 306.8 MB
8. Continuous Random Variables.mp4 305.1 MB
10. Continuous Bayes' Rule; Derived Distributions.mp4 300.7 MB
12. Iterated Expectations.mp4 298.7 MB
15. Poisson Process II.mp4 292.9 MB
16. Markov Chains I.mp4 266.4 MB
14. Poisson Process I.mp4 265.8 MB
6. Discrete Random Variables II.mp4 261.8 MB
2. Conditioning and Bayes' Rule.mp4 257.1 MB
4. Counting.mp4 256.6 MB
19. Weak Law of Large Numbers.mp4 251.2 MB
3. Independence.mp4 237.7 MB
1. Probability Models and Axioms.mp4 186.5 MB

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【文档书籍】 Fundamentals of Applied Pathophysiology, 2E [PDF] [StormRG]

收录时间:2020-02-14 文档个数:3 文档大小:86.1 MB 最近下载:2024-12-09 人气:2150 磁力链接

Fundamentals of Applied Pathophysiology, Second Edition - Nair, Muralitharan, Peate, Ian.pdf 86.1 MB
Cover.jpg 37.8 kB
Metadata.opf 1.3 kB

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【影视】 [Lynda] Applied Machine Learning - Algorithms

收录时间:2020-02-14 文档个数:220 文档大小:364.8 MB 最近下载:2024-12-04 人气:1142 磁力链接

[Lynda] Applied Machine Learning - Algorithms/01 - The power of algorithms in machine learning.mp4 42.4 MB
[Lynda] Applied Machine Learning - Algorithms/32 - Final model selection and evaluation.mp4 32.2 MB
[Lynda] Applied Machine Learning - Algorithms/21 - Fit a basic multi-layer perceptron model.mp4 26.1 MB
[Lynda] Applied Machine Learning - Algorithms/13 - Fit a basic logistic regression model.mp4 24.7 MB
[Lynda] Applied Machine Learning - Algorithms/07 - Clean continuous variables.mp4 20.1 MB
[Lynda] Applied Machine Learning - Algorithms/17 - Fit a basic SVM model.mp4 19.3 MB
[Lynda] Applied Machine Learning - Algorithms/08 - Clean categorical variables.mp4 17.1 MB
[Lynda] Applied Machine Learning - Algorithms/29 - Fit a basic boosting model.mp4 16.8 MB
[Lynda] Applied Machine Learning - Algorithms/25 - Fit a basic Random Forest model.mp4 13.3 MB
[Lynda] Applied Machine Learning - Algorithms/09 - Split into train, validation, and test set.mp4 10.7 MB
[Lynda] Applied Machine Learning - Algorithms/12 - What are the key hyperparameters to consider.mp4 10.7 MB
[Lynda] Applied Machine Learning - Algorithms/20 - What are the key hyperparameters to consider.mp4 10.5 MB
[Lynda] Applied Machine Learning - Algorithms/26 - What is boosting.mp4 8.7 MB
[Lynda] Applied Machine Learning - Algorithms/16 - What are the key hyperparameters to consider.mp4 8.6 MB
[Lynda] Applied Machine Learning - Algorithms/28 - What are the key hyperparameters to consider boosting.mp4 8.4 MB
[Lynda] Applied Machine Learning - Algorithms/14 - What is Support Vector Machine.mp4 8.4 MB
[Lynda] Applied Machine Learning - Algorithms/22 - What is Random Forest.mp4 6.6 MB
[Lynda] Applied Machine Learning - Algorithms/30 - Why do you need to consider so many different models.mp4 6.4 MB
[Lynda] Applied Machine Learning - Algorithms/31 - Conceptual comparison of algorithms.mp4 6.3 MB
[Lynda] Applied Machine Learning - Algorithms/18 - What is a multi-layer perceptron.mp4 6.2 MB

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【压缩文件】 Applied Acoustics - Systems Lounge Lizard EP-4 4.2.3 VSTi, VSTi3, AU MAC.OSX x86 x64

收录时间:2020-02-15 文档个数:4 文档大小:74.1 MB 最近下载:2024-12-31 人气:1663 磁力链接

lounge-lizard-ep-4-v423.dmg 37.5 MB
Lounge Lizard EP-4 Installer.exe 27.9 MB
Lounge Lizard EP-4 Manual.pdf 8.7 MB
AiR Keygen.exe 78.3 kB

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【压缩文件】 [ FreeCourseWeb.com ] Lynda - Applied Interaction Design- Onboarding Flow.zip

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[ FreeCourseWeb.com ] Lynda - Applied Interaction Design- Onboarding Flow.zip 67.7 MB

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【压缩文件】 Applied.Acoustics.Systems.Lounge.Lizard.EP-4.v4.2.1.Incl.Keygen.WiN

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lounge-lizard-ep-4-v421.dmg 37.6 MB
Lounge Lizard EP-4 Installer.exe 27.9 MB
Lounge Lizard EP-4 Manual.pdf 8.7 MB
AiR Keygen.exe 78.3 kB

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【影视】 5517 Alexis Brill - AN APPLIED STUDENT 2017 1080p.mp4

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5517 Alexis Brill - AN APPLIED STUDENT 2017 1080p.mp4 456.8 MB

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【影视】 [Lynda] Applied Machine Learning - Foundations

收录时间:2020-02-17 文档个数:37 文档大小:399.2 MB 最近下载:2024-04-07 人气:326 磁力链接

[Lynda] Applied Machine Learning - Foundations/3.2. Exploratory Data Analysis and Data Cleaning/12.Exploring continuous features.mp4 25.4 MB
[Lynda] Applied Machine Learning - Foundations/6.5. End-to-End Pipeline/35.Final model selection and evaluation on test set.mp4 25.3 MB
[Lynda] Applied Machine Learning - Foundations/1.Introduction/01.Leveraging machine learning.mp4 20.1 MB
[Lynda] Applied Machine Learning - Foundations/6.5. End-to-End Pipeline/34.Evaluate results on validation set.mp4 19.4 MB
[Lynda] Applied Machine Learning - Foundations/6.5. End-to-End Pipeline/33.Tune hyperparameters.mp4 19.0 MB
[Lynda] Applied Machine Learning - Foundations/3.2. Exploratory Data Analysis and Data Cleaning/13.Plotting continuous features.mp4 18.7 MB
[Lynda] Applied Machine Learning - Foundations/3.2. Exploratory Data Analysis and Data Cleaning/15.Exploring categorical features.mp4 15.9 MB
[Lynda] Applied Machine Learning - Foundations/3.2. Exploratory Data Analysis and Data Cleaning/14.Continuous data cleaning.mp4 15.8 MB
[Lynda] Applied Machine Learning - Foundations/6.5. End-to-End Pipeline/32.Fit a basic model using cross-validation.mp4 15.6 MB
[Lynda] Applied Machine Learning - Foundations/3.2. Exploratory Data Analysis and Data Cleaning/16.Plotting categorical features.mp4 15.0 MB
[Lynda] Applied Machine Learning - Foundations/6.5. End-to-End Pipeline/29.Clean continuous features.mp4 14.5 MB
[Lynda] Applied Machine Learning - Foundations/4.3. Measuring Success/19.Split data for train_validation_test set.mp4 13.6 MB
[Lynda] Applied Machine Learning - Foundations/2.1. Machine Learning Basics/07.Why Python.mp4 12.7 MB
[Lynda] Applied Machine Learning - Foundations/3.2. Exploratory Data Analysis and Data Cleaning/17.Categorical data cleaning.mp4 11.6 MB
[Lynda] Applied Machine Learning - Foundations/6.5. End-to-End Pipeline/30.Clean categorical features.mp4 11.1 MB
[Lynda] Applied Machine Learning - Foundations/2.1. Machine Learning Basics/09.Demos of machine learning in real life.mp4 11.1 MB
[Lynda] Applied Machine Learning - Foundations/6.5. End-to-End Pipeline/31.Split data into train_validation_test set.mp4 10.2 MB
[Lynda] Applied Machine Learning - Foundations/5.4. Optimizing a Model/26.Hyperparameter tuning.mp4 10.1 MB
[Lynda] Applied Machine Learning - Foundations/4.3. Measuring Success/18.Why do we split up our data.mp4 9.9 MB
[Lynda] Applied Machine Learning - Foundations/4.3. Measuring Success/20.What is cross-validation.mp4 9.5 MB

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