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- Code Walkthrough:
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Classroom Contents
Stochastic Depth for Neural Networks - Implementation and Analysis
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- 1 - Introduction:
- 2 - Background and Context:
- 3 - Questions:
- 4 - Architecture Changes:
- 5 - Why use the resnet architecture for stochastic depth?:
- 6 - Difference between Drop out and Drop path:
- 7 - Speedup and performance:
- 8 - Stochastic Depth example:
- 9 - How do they manage speedup and better performance with stochastic depth?:
- 10 - Data sets:
- 11 - Main Results:
- 12 - Analytical Experiment Result:
- 13 - Code Walkthrough:
- 14 - Conclusion:
