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[Tutorialsplanet.NET] Udemy - Beginning with Machine Learning & Data Science in Python |
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569.2 MB |
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1.2 MB |
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4.9 MB |
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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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23.8 MB |
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6.4 MB |
/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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2.0 GB |
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/9. Improving performance/7. Dropout and Regularization code along.mp4 |
6.6 MB |
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[FTUForum.com] [UDEMY] Deep Learning Prerequisites Linear Regression in Python [FTU] |
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23.8 MB |
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6.4 MB |
/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 |
8.1 MB |
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[FreeCourseLab.com] Udemy - 2019 AWS SageMaker and Machine Learning - With Python |
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4.9 GB |
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/23. Hyper Parameters, Model Optimization and Lifecycle/3. Regularization, Learning Rate.mp4 |
6.0 MB |
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6.2 MB |
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[UdemyCourseDownloader] Machine Learning A-Z Become Kaggle Master |
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/24. Advanced Machine Learning Algorithms/6. Regularization.mp4 |
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[FreeCoursesOnline.Me] Coursera - How to Win a Data Science Competition Learn from Top Kagglers |
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2.2 GB |
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[CourseClub.NET] Packtpub - Deep Learning for Python Developers |
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509.9 MB |
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13.9 MB |
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[CourseClub.NET] Coursera - How to Win a Data Science Competition Learn from Top Kagglers |
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2.2 GB |
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29.7 MB |
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378.7 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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