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【影视】 [Eng-Sub] [Khmer-Hentai] Dokidoki Oyako Lesson - Oshiete H Na Obenkyou (Learning the Hard Way , ドキドキ母娘レッスン～教えてHなお勉強～) Ep.01-02 [Unsenser]

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[KH]_Learning_The_Hard_Way_02_(h264)_[F5A84A4D].mkv 251.5 MB
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【影视】 [FreeCourseSite.com] Udemy - Advanced AI Deep Reinforcement Learning in Python

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9. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.2 MB
7. A3C/5. A3C - Code pt 4.mp4 193.3 MB
8. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.0 MB
8. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.mp4 97.9 MB
8. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.mp4 91.2 MB
7. A3C/4. A3C - Code pt 3.mp4 88.6 MB
8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
9. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
7. A3C/1. A3C - Theory and Outline.mp4 75.2 MB
7. A3C/3. A3C - Code pt 2.mp4 60.4 MB
7. A3C/2. A3C - Code pt 1 (Warmup).mp4 52.5 MB
9. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
9. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
9. Appendix/13. What order should I take your courses in (part 2).mp4 39.5 MB
9. Appendix/12. What order should I take your courses in (part 1).mp4 30.7 MB
9. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
5. Policy Gradients/9. Mountain Car Continuous Theano (v2).mp4 23.3 MB
5. Policy Gradients/7. Mountain Car Continuous Tensorflow.mp4 21.1 MB
6. Deep Q-Learning/7. Deep Q-Learning in Theano for Breakout.mp4 21.0 MB
5. Policy Gradients/6. Mountain Car Continuous Theano.mp4 20.0 MB

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【影视】 [Artstation Learning] Substance Painter Pushing Your Texturing Further [RUS]

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5. Layering Detail.mp4 725.7 MB
2. Resource Gathering.mp4 489.2 MB
4. Base Materials.mp4 329.4 MB
3. Setting Up Your Painter Scene.mp4 230.2 MB
6. Final Tweaking.mp4 220.1 MB
1. Introduction.mp4 66.8 MB
5. Layering Detail.mp3 35.7 MB
2. Resource Gathering.mp3 24.0 MB
7. Conclusion.mp4 16.7 MB
4. Base Materials.mp3 16.2 MB
3. Setting Up Your Painter Scene.mp3 11.3 MB
6. Final Tweaking.mp3 10.9 MB
1. Introduction.mp3 3.2 MB
7. Conclusion.mp3 826.7 kB

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【影视】 [DesireCourse.Net] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python

收录时间:2022-01-18 文档个数:80 文档大小:924.3 MB 最近下载:2025-05-13 人气:813 磁力链接

5. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
5. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.vtt 82.1 MB
5. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
5. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
5. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
5. Appendix/11. What order should I take your courses in (part 2).mp4 39.5 MB
3. Hierarchical Clustering/5. Application Donald Trump vs. Hillary Clinton Tweets.mp4 37.0 MB
2. K-Means Clustering/5. Soft K-Means in Python Code.mp4 31.7 MB
4. Gaussian Mixture Models (GMMs)/3. Write a Gaussian Mixture Model in Python Code.mp4 31.6 MB
5. Appendix/10. What order should I take your courses in (part 1).mp4 30.8 MB
3. Hierarchical Clustering/4. Application Evolution.mp4 27.7 MB
2. K-Means Clustering/12. K-Means Application Finding Clusters of Related Words.mp4 27.2 MB
2. K-Means Clustering/3. Soft K-Means.mp4 26.5 MB
5. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
5. Appendix/6. How to Succeed in this Course (Long Version).mp4 19.2 MB
2. K-Means Clustering/7. Examples of where K-Means can fail.mp4 17.8 MB
5. Appendix/5. How to Code by Yourself (part 2).mp4 15.5 MB
2. K-Means Clustering/1. An Easy Introduction to K-Means Clustering.mp4 13.2 MB
3. Hierarchical Clustering/3. Using Hierarchical Clustering in Python and Interpreting the Dendrogram.mp4 12.4 MB
2. K-Means Clustering/9. How to Evaluate a Clustering (Purity, Davies-Bouldin Index).mp4 11.9 MB

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【影视】 Alex Chance - Learning From Her Step Dad 540.mp4

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【影视】 [DesireCourse.Net] Udemy - Node.Js Learning Koa.Js By Building REST APIs

收录时间:2022-02-10 文档个数:116 文档大小:549.1 MB 最近下载:2025-05-13 人气:692 磁力链接

6. Adding Documentation In Koa/2. Adding Documentation for Signup.mp4 35.7 MB
5. Authentication In Koa/5. Adding Policy to Routes.mp4 27.2 MB
5. Authentication In Koa/2. Signup New User.mp4 26.5 MB
4. Adding Relationship Between Models/7. Debugging Model.create method.mp4 21.1 MB
4. Adding Relationship Between Models/5. Creating New Application.mp4 19.8 MB
5. Authentication In Koa/3. Encrypt the User Password.mp4 18.4 MB
2. Building API in Koa.js/6. Solution Add new post.mp4 17.5 MB
5. Authentication In Koa/7. Migrations Quick Demo.mp4 17.4 MB
3. Integrating Koa with Sequelize.js/7. Creating New Company.mp4 17.4 MB
5. Authentication In Koa/4. Creating JSON Web Token.mp4 16.5 MB
6. Adding Documentation In Koa/1. Serving Static Files.mp4 14.3 MB
2. Building API in Koa.js/13. Understanding Routing in Koa.mp4 13.7 MB
1. Koa.js Fundamentls/6. Adding Middleware.mp4 13.2 MB
5. Authentication In Koa/6. Relationship between User and Company.mp4 13.1 MB
4. Adding Relationship Between Models/4. Adding Many to Many Relationship.mp4 13.1 MB
6. Adding Documentation In Koa/5. Documentation for Compnaies Endpoints.mp4 13.0 MB
4. Adding Relationship Between Models/8. Debugging FindAll Method.mp4 12.9 MB
4. Adding Relationship Between Models/2. Creating Jobs Endpoint.mp4 12.5 MB
1. Koa.js Fundamentls/5. AsynAwait Demo.mp4 12.2 MB
1. Koa.js Fundamentls/10. Understanding Application Object.mp4 12.0 MB

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【影视】 [ TutGee.com ] Linkedin - Learning StreamYard

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~Get Your Files Here !/6. Show This to Your Guest/022. This is for your guest.mp4 75.7 MB
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~Get Your Files Here !/1. Introduction/003. StreamYard pricing and plans.mp4 56.2 MB
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【影视】 [FreeCoursesOnline.Me] Coursera - Introduction to Deep Learning

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001.Specialization Promo/001. Welcome to AML specialization!.mp4 14.3 MB
001.Specialization Promo/001. Welcome to AML specialization!.srt 4.8 kB
002.Course intro/002. Course intro.mp4 23.2 MB
002.Course intro/002. Course intro.srt 9.0 kB
003.Linear model as the simplest neural network/003. Linear regression.mp4 37.5 MB
003.Linear model as the simplest neural network/003. Linear regression.srt 13.7 kB
003.Linear model as the simplest neural network/004. Linear classification.mp4 44.7 MB
003.Linear model as the simplest neural network/004. Linear classification.srt 16.8 kB
003.Linear model as the simplest neural network/005. Gradient descent.mp4 19.9 MB
003.Linear model as the simplest neural network/005. Gradient descent.srt 7.6 kB
004.Regularization in machine learning/006. Overfitting problem and model validation.mp4 27.7 MB
004.Regularization in machine learning/006. Overfitting problem and model validation.srt 10.0 kB
004.Regularization in machine learning/007. Model regularization.mp4 20.8 MB
004.Regularization in machine learning/007. Model regularization.srt 7.6 kB
005.Stochastic methods for optimization/008. Stochastic gradient descent.mp4 22.1 MB
005.Stochastic methods for optimization/008. Stochastic gradient descent.srt 8.0 kB
005.Stochastic methods for optimization/009. Gradient descent extensions.mp4 38.3 MB
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006.The simplest neural network MLP/010. Multilayer perceptron (MLP).mp4 46.8 MB
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