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5.4 GB |
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260.3 MB |
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[FreeCourseLab.com] Udemy - Zero to Deep Learning™ with Python and Keras |
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2.0 GB |
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/9. Improving performance/7. Dropout and Regularization code along.mp4 |
6.6 MB |
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3.3 GB |
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[UdemyCourseDownloader] Introduction to Machine Learning & Deep Learning in Python |
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2.0 GB |
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/17. Convolutional Neural Networks/13. ARTICLE Regularization (L1, L2 and dropout).html |
0.2 KB |
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[UdemyCourseDownloader] Master MATLAB through Guided Problem Solving |
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18.1 GB |
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/20. Matrix Analysis/19. Covariance Shrinkage Regularization in PCA.mp4 |
149.6 MB |
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27.4 KB |
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[DesireCourse.Com] Udemy - Recommender Systems and Deep Learning in Python |
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4.3 GB |
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/4. Matrix Factorization and Deep Learning/5. Matrix Factorization - Regularization.mp4 |
23.4 MB |
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[FreeCourseLab.com] Udemy - Deep Learning Prerequisites Linear Regression in Python |
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987.8 MB |
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[FreeCoursesOnline.Me] Coursera - Introduction to Deep Learning |
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1.4 GB |
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/004.Regularization in machine learning/006. Overfitting problem and model validation.mp4 |
27.7 MB |
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20.8 MB |
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[FreeCoursesOnline.Me] [LYNDA] Applied Machine Learning Foundations [FCO] |
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399.5 MB |
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4.6 MB |
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[CourseClub.NET] Packtpub - Introduction to Deep Learning with Caffe2 |
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1.0 GB |
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10.1 MB |
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33.1 MB |
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26.6 MB |
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2.6 GB |
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/02 Modeling and Machine Learning/014 Regularization for Linear and Logistic Regression.mp4 |
70.6 MB |
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/04 Machine Learning/050 Regularization Hyperparameter tuning.mp4 |
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Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples.pdf |
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Maximum Relative Margin and Data-Dependent Regularization.pdf |
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1.6 GB |
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6.6 MB |
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/subtitles/9 - 4 - 04 Intuition for Regularization (0659).srt |
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