Smart ML Experiment Tracking and Model Registry with Neptune.AI Platform

Smart ML Experiment Tracking and Model Registry with Neptune.AI Platform

Prodramp via YouTube Direct link

- Pushing Colab notebook to GitHub

23 of 25

23 of 25

- Pushing Colab notebook to GitHub

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Smart ML Experiment Tracking and Model Registry with Neptune.AI Platform

Automatically move to the next video in the Classroom when playback concludes

  1. 1 - Video Start
  2. 2 - Introduction
  3. 3 - Why and Why?
  4. 4 - 3 Key Features
  5. 5 - Platform Service Status
  6. 6 - MLOps Tutorials
  7. 7 - Get Platform Access
  8. 8 - Jupyter Notebook colab & GitHub
  9. 9 - Heart Disease Detection ML Experiment
  10. 10 - ML Experiment in Keras/TensorFlow
  11. 11 - Export colab notebook to GitHub
  12. 12 - Adding Neptune Tracking code
  13. 13 - Create Tracking Project
  14. 14 - Initialize Neptune runtime objects
  15. 15 - ML Experiment with Neptune Objects
  16. 16 - Neptune Callback with ML Experiment
  17. 17 - Neptune ML Tracking Dashboard
  18. 18 - Adding another Experiment
  19. 19 - Comparing Experiments
  20. 20 - Custom content image Tracking
  21. 21 - More Experiments tracking
  22. 22 - Adding Jupyter notebook as resource
  23. 23 - Pushing Colab notebook to GitHub
  24. 24 - Recap
  25. 25 - Credits

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.