Explainable AI, Session 4: Intro to LIME VIDEO
Conceptual explanation of LIME
Review examples of the explantions that LIME offer for tabular, text and image classifiers
Understand the pros and cons of LIME
Other Videos By LLMs Explained - Aggregate Intellect - AI.SCIENCE 2021-09-02 AI Product, Part 9: Long-term Validation 2021-09-02 AI Product, Part 8: Short-term Validation 2021-09-02 AI Product, Part 7: Storytelling 2021-09-02 AI Product, Part 6: Product Team 2021-09-02 AI Product, Part 5: Discovery 2021-09-02 AI Product, Part 4: Talking to Users 2021-09-02 AI Product, Part 3: Ideation 2021-09-02 AI Product, Part 2: Frameworks 2021-09-02 AI Product, Part 1: Principles 2021-09-01 Explainable AI, Session 5: Intro to SHAP 2021-09-01 Explainable AI, Session 4: Intro to LIME 2021-09-01 Explainable AI, Session 3: Explainability Options 2021-09-01 Explainable AI, Session 2: Why Do We Need Machine Learning Explanations 2021-09-01 Explainable AI, Session 1: Introduction, Welcome & A Message from the Instructor 2021-08-31 Graph Neural Networks, Session 6: DeepWalk and Node2Vec 2021-08-31 Graph Neural Networks, Session 5: Graph Attention Networks 2021-08-31 Graph Neural Networks, Session 4: Simple Graph Convolution 2021-08-31 Graph Neural Networks, Session 3: Machine-Learning Tasks on Graphs 2021-08-31 Graph Neural Networks, Session 2: Graph Definition 2021-08-31 Graph Neural Networks, Session 1: Introduction to Graphs 2021-08-26 Reinforcement Learning in the Real World (with Professor Matthew Taylor)
Tags: deep learning
machine learning