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Table of Contents Adversarial Learning with Keras and TensorFlow (Part 1): Overview of Adversarial Learning Configuring Your Development Environment Need Help Configuring Your Development Environment? Project Structure Creating Adversarial Examples Robustness Toward Adversarial Examples Summary Citation Information Adversarial Learning with…

Table of Contents Introduction to Gemini Pro Vision Google AI Studio Creating a Prompt Using Google AI Studio Gemini Pro Vision API Summary Citation Information Introduction to Gemini Pro Vision In this tutorial, you will learn how to get started…

Table of Contents T’is the Time … for GenAI! Google and Generative AI What’s the Buzz? What Is Generative AI? Getting Started with Vertex AI-Generative AI Studio’s User Interface Vertex AI-Generative AI Studio on Google Cloud Language Get Started Create…

Table of Contents ML Days in Tashkent — Day 3: Demos and Workshops Day 3 at the Google ML Community Summit: A Hands-On Showcase of Global Talent 3-Minute Demos: A Rapid-Fire Showcase of Innovation Meeting with Pedro: Fine-Tuning Stable Diffusion…

Table of Contents ML Days in Tashkent — Day 2: Sprints and Sessions Kicking Off with a Keynote Sprints and Sessions: A Showcase of Innovation Community Focus: Training and Building AI/ML Ecosystems Martin Gorner on Keras: Evolution and Future Mark…

Table of Contents ML Days in Tashkent — Day 1: City Tour Arriving at Tashkent! City Tour Memorial to the Victims of Repression Barak Khan Madrasa Minor Mosque Chorsu Bazaar Metro Ride Back to the Hotel Generating Images with Stable…

Table of Contents A Brief Introduction to Do-Calculus Definitions Definition 1 Definition 2 The Rules of Do-Calculus Rule 1: Insertion/Deletion of Observation Rule 2: Action/Observation Exchange Rule 3: Insertion/Deletion of Action Summary References Citation Information A Brief Introduction to Do-Calculus…

Table of Contents Tools and Methodologies for Studying Causal Effects Randomization A/B Test Multi-Armed Bandits Natural Experiments Regression Discontinuity Instrumental Variable Observational Data Backdoor Criterion Propensity Score Matching Summary References Citation Information Tools and Methodologies for Studying Causal Effects This…

Table of Contents Faster R-CNNs Object Detection and Deep Learning Measuring Object Detector Performance From Where Do the Ground-Truth Examples Come? Why Do We Use Intersection over Union (IoU)? Mean Average Precision (mAP) The (Faster) R-CNN Architecture A Brief History…