Completed
- Why LIME is needed?
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Apply LIME to Explain, Trust, and Validate Your Predictions for Any ML Model
Automatically move to the next video in the Classroom when playback concludes
- 1 - Tutorial Introduction
- 2 - Why LIME is needed?
- 3 - Need for a surrogate model
- 4 - LIME Properties
- 5 - LIME is not Feature Importance
- 6 - Explaining image classification
- 7 - Another LIME based explanation
- 8 - Tabular data classification explanation
- 9 - Two types of explanations
- 10 - What is in notebook exercises?
- 11 - 1st Original LIME explanation
- 12 - Loading Inception V3 model
- 13 - LIME library Installation
- 14 - Lime Explainer Module
- 15 - LIME Explanation Model Creation
- 16 - Creating superpixel Image
- 17 - Showing Pros and Cons in image
- 18 - Showing Pros and Cons with weight higher 0.1 in image
- 19 - Analyzing 2nd Prediction
- 20 - LIME Custom Implementation
- 21 - Loading EffecientNet Model
- 22 - Loading LIME class from custom Implementation
- 23 - LIME Explanation Results
- 24 - Loading ResNet50 Model
- 25 - LIME Explanations
- 26 - Step by Step Custom Explanations
- 27 - Explanations Comparisons
- 28 - Saving Notebooks to GitHub
- 29 - Recap
