Udemy - Explainable AI

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size480 MB
  • Uploaded Byfreecoursewb
  • Downloads53
  • Last checkedJul. 10th '26
  • Date uploadedJul. 10th '26
  • Seeders 11
  • Leechers3

Infohash : CE72D82D2336270BA62AF8767FDC58FC08DFD42F

Explainable AI

https://WebToolTip.com

Published 7/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 41m | Size: 479.97 MB

Interpretable and Explainable Methods of ML and DL Models

What you'll learn
Define XAI Taxonomy
Distinguish between Antehoc and Posthoc explainability models
Application of XAI methods in Deep Learning Models
Estimate the performance of different XAI methods

Requirements
Prior knowledge on Deep Learning and Machine Learning Models

Files:

[ WebToolTip.com ] Udemy - Explainable AI
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Introduction
    • 1 - Introduction to XAI.mp4 (277.9 MB)
    • 1 - Module 1 - XAI Introduction.pptx (2.2 MB)
    2 - Inherent Interpretability of ML Models
    • 2 - Lecture 2 ML Interpretability (Description).html (0.7 KB)
    • 2 - Lecture 2 ML Interpretability.html (13.2 KB)
    • 2 - Module 2- Intrinsically Interpretable Models - ML.pptx (2.3 MB)
    3 - Explainability of DL models
    • 3 - Deep Learning Models Explainability Methods (Description).html (0.8 KB)
    • 3 - Deep Learning Models Explainability Methods.html (5.5 KB)
    • 3 - Module 3- Explainability Models - NN.pptx (4.3 MB)
    • 4 - Module 4 - XAI - Rules Based.pptx (6.8 MB)
    • 4 - Rules based XAI methods for DL Models (Description).html (0.7 KB)
    • 4 - Rules based XAI methods for DL Models.html (5.5 KB)
    • 5 - Module 5 - Prototype and Attendon Networks.pptx (2.1 MB)
    • 5 - Prototype and Attention Mechanisms based XAI Methods for DL Models (Description).html (0.8 KB)
    • 5 - Prototype and Attention Mechanisms based XAI Methods for DL Models.html (5.7 KB)
    4 - Posthoc Explainability and Local Vs. Global Explanations
    • 6 - Module 6 - Posthoc Explainability Models.pptx (6.8 MB)
    • 6 - Posthoc Explainability methods - LIME, SHAP etc (Description).html (0.8 KB)
    • 6 - Posthoc Explainability methods - LIME, SHAP etc.mp4 (162.4 MB)
    • 7 - Global Vs. Local Explanations (Description).html (0.7 KB)
    • 7 - Global Vs. Local Explanations.html (5.6 KB)
    • 7 - Module 7 - Global Vs Local Explanations.pptx (3.3 MB)
    5 - Evaluation of XAI Methods
    • 8 - Evaluating Model Interpretability and Explainability (Description).html (0.8 KB)
    • 8 - Evaluating Model Interpretability and Explainability.html (5.6 KB)
    • 8 - Module 8 - Evaluating Model Interpretations.pptx (4.9 MB)
    • 9 - Limitations of XAI Evaluations (Description).html (0.8 KB)
    • 9 - Limitations of XAI Evaluations.html (5.5 KB)
    • 9 - Module 9 - Limitations of XAI Evaluation Methods.pptx (5.2 MB)
    6 - Future of XAI
    • 10 - Future trends of XAI New Interfaces, Tools, Benchmarks for Model Understanding (Description).html (0.9 KB)
    • 10 - Future trends of XAI New Interfaces, Tools, Benchmarks for Model Understanding.html (5.5 KB)
    • 10 - Module 10 - Future of XAI.pptx (1.9 MB)
    • Bonus Resources.txt (0.1 KB)

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