Intro to machine intelligence - Bamilo
Download as PPTX, PDF
1 like95 views
This document provides a non-technical introduction to artificial intelligence and machine learning. It discusses what AI is, how intelligent agents work using both symbolic and connectionist approaches. It also describes the main types of machine learning tasks including supervised learning, unsupervised learning, reinforcement learning, and semi-supervised learning. Finally, it showcases some current applications of deep learning like self-driving cars, game playing, image generation and more.
Intro to machine intelligence - Bamilo
- 1. Machine Intelligence A non-technical introduction to artificial intelligence and modern machine learning Hamidreza Hosseinkhani August 2018 - Bamilo
- 2. What the hell is AI?!
- 3. Acting Humanly Acting Rationally Thinking Humanly Thinking Rationally
- 6. Waymo Self-driving Car Sensory System
- 7. Agent Function Implement the explicit knowledge as an logic-based algorithm (Symbolic AI) (Expert Systems) Learn a model of knowledge implicitly from experience (Connectionist AI) (Machine Learning)
- 8. Machine Learning (Learning from experience) Experience -> Dataset Massive Dataset, Big data, Data Mining
- 9. Machine Learning (Learning from experience) ML tasks based on the shape of the dataset: Supervised Learning Unsupervised Learning Semi-supervised Learning Reinforcement Learning
- 15. Artificial Neural Network - Deep Learning
- 22. Generate New Game Levels
- 23. Recognize faces in the dark and through walls
- 26. Style Transfer
- 27. Deep Style
- 28. Play Board Games
- 29. Play ATARI Games
- 30. Estimate solar savings potential
- 31. Image Generation
- 33. Generate Music
- 34. Drawing
- 36. Learning Lip Sync from Audio
- 38. Thank You!