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[Tutorialsplanet.NET] Udemy - Beginning with Machine Learning & Data Science in Python |
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[DesireCourse.Com] Udemy - Data Science Practical Deep Learning in Theano + TensorFlow |
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509.8 MB |
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08 Modern Regularization Techniques/023 Dropout Regularization.mp4 |
23.8 MB |
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10 Appendix/030 Manually Choosing Learning Rate and Regularization Penalty.mp4 |
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[UdemyCourseDownloader] Zero to Deep Learning™ with Python and Keras |
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9. Improving performance/7. Dropout and Regularization code along.mp4 |
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[FTUForum.com] [UDEMY] Deep Learning Prerequisites Linear Regression in Python [FTU] |
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1.0 GB |
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4. Practical machine learning issues/14. L1 Regularization - Theory.mp4 |
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08 Modern Regularization Techniques/023 Dropout Regularization.mp4 |
23.8 MB |
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6.4 MB |
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10 Appendix/030 Manually Choosing Learning Rate and Regularization Penalty.mp4 |
7.4 MB |
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[FreeCourseLab.com] Udemy - Data Science Deep Learning in Python |
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1.5 GB |
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6. Practical Machine Learning/8. Manually Choosing Learning Rate and Regularization Penalty.mp4 |
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[FreeCourseLab.com] Udemy - 2019 AWS SageMaker and Machine Learning - With Python |
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23. Hyper Parameters, Model Optimization and Lifecycle/3. Regularization, Learning Rate.mp4 |
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[FreeCoursesOnline.Me] Coursera - How to Win a Data Science Competition Learn from Top Kagglers |
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[CourseClub.NET] Packtpub - Deep Learning for Python Developers |
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509.9 MB |
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3 - Improving Deep Neural Networks/Regularization and Dropout.mp4 |
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[CourseClub.NET] Coursera - How to Win a Data Science Competition Learn from Top Kagglers |
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[FreeTutorials.Eu] [UDEMY] Feature Selection for Machine Learning - [FTU] |
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07 Embedded methods Lasso regularisation/035 Machine-Learning-Explained-Regularization.txt |
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[FreeCourseLab.com] Udemy - Zero to Deep Learning™ with Python and Keras |
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[FreeCourseSite.com] Udemy - 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 |
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[UdemyCourseDownloader] Introduction to Machine Learning & Deep Learning in Python |
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[UdemyCourseDownloader] Master MATLAB through Guided Problem Solving |
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20. Matrix Analysis/19. Covariance Shrinkage Regularization in PCA.mp4 |
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