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Applied Deep Learning Fellowship Overview and Project Selection with Josh Tobin (2019)
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Applied Deep Learning Lectures
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- 1 Applied Deep Learning Fellowship Overview and Project Selection with Josh Tobin (2019)
- 2 Grading Rubric for AI Applications with Sergey Karayev (2019)
- 3 Applied Deep Learning - Data Management with Josh Tobin (2019)
- 4 Snorkel: Programming Training Data with Paroma Varma of Stanford University (2019)
- 5 Applied Deep Learning - Troubleshooting and Debugging with Josh Tobin (2019)
- 6 Troubleshooting and Iterating ML Models with Lee Redden (2019)
- 7 Pieter Abeel on Potential Deep Learning Research Directions (2019)
- 8 Applied Deep Learning - Rosanne Liu on AI Research (2019)
- 9 Designing a Machine Learning Project with Neal Khosla (2019)
- 10 Lukas Beiwald on ML Tools and Experiment Management (2019)
- 11 Building Machine Learning Teams with Josh Tobin (2019)
- 12 Testing and Deployment of Deep Learning Models with Josh Tobin (2019)
- 13 Five Lessons for Team-Oriented Research with Peter Welder (2019)
