About the talk
In the excitement surrounding today's advanced AI models, understanding what's happening under the hood can feel overwhelming. But at their core, these models rely on the same foundational statistical principles. In this talk we will try to demystify the complexity of AI by walking through the steps of how one defines a simple a neural network, what its main components are, and how more advanced models are built on similar principles.
This talk will cover
- What are Neural Networks? Single and Multi-Layer Perceptron
- Optimization and Cost Functions
- Output and Hidden Units
- Simple model architecture and more advanced models
Web Development
About the speaker
Uliana is an ML analyst at Stripe. Uliana's career spans across academic research and tech, and she is passionate about AI applications in business.