Identity Verification with ML
summary
Presentation explains how to perform identity verification using machine learning inside the browser. It covers browser-based ML tools and APIs (client-side ML execution), what web developers need to know to integrate ML features for identity verification, and which libraries and platform capabilities (e.g., Web APIs for ML, cryptography, device access) are available for implementation.
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chapters (11)
- 0:00Introduction
- 3:53Document backside verification
- 4:57ML setup and metrics
- 8:49Perceptron and neural nets
- 17:19ML task types
- 23:39Computer vision basics
- 28:16CNN architecture
- 34:43TensorFlow implementation
- 40:10Real-time demo
- 43:02Neural networks future
- 56:00Q&A
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