NVIDIA Deep Learning: Getting Started with DIGITS - Class 2

NVIDIA Deep Learning: Getting Started with DIGITS - Class 2

NVIDIA Developer via YouTube Direct link

Intro

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1 of 19

Intro

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NVIDIA Deep Learning: Getting Started with DIGITS - Class 2

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  1. 1 Intro
  2. 2 WHAT IS DEEP LEARNING? A Classification Example
  3. 3 IMAGE CLASSIFICATION WITH DNNS
  4. 4 HOW DO I GET DIGITS? Two ways to install it
  5. 5 TRAINING AND VALIDATION DATA Why do we need it?
  6. 6 NVIDIA DIGITS Network Configuration - Start with a Standard Network
  7. 7 LENET Network Configuration
  8. 8 OVERFITTING AND UNDERFITTING How can I use DIGITS to tell me this is happening?
  9. 9 NVIDIA DIGITS Single Image Classification
  10. 10 SINGLE IMAGE CLASSIFICATION RESULTS
  11. 11 NETWORK PARAMETERS
  12. 12 NVIDIA DIGITS Modifying your Network
  13. 13 USING AN AUGMENTED DATA SET
  14. 14 ANOTHER WAY TO IMPROVE PERFORMANCE Data Augmentation Example augmentation - Inverted copies of the input data
  15. 15 DEPLOYING YOUR NETWORK
  16. 16 DEPLOYMENT WITH TEGRA Rapid Classification Anywhere
  17. 17 NVIDIA DIGITS Resources
  18. 18 HANDS-ON LAB
  19. 19 DEEP LEARNING LAB SERIES SCHEDULE

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