Join Doug Rose for an in-depth discussion in this video Backpropagation, part of Artificial Intelligence Foundations: Thinking Machines.
- I have a vivid memory of being a kid…splitting a small bag of jelly beans.…My friend and I were very good at sharing the bag.…He would eat two, then I would eat two.…We worked together to empty the bag.…As we ate our way down, I noticed that my friend…was ignoring the black jelly beans.…So when we got close to the bottom…the number of these beans increased.…I asked him, hey why did you leave me…these little black jelly beans?…He said he was saving them all for me.…So without thinking, I popped two…in my mouth and began to chew.…
These little beans were one of…the vilest things I've ever tried.…They tasted like a mixture of soap…and bug spray and candles.…I spit them out and that ruined the rest of the bag.…From that day forward, I was deeply suspicious…of any of the darker colored beans.…I figured I'd made an error by eating the black ones,…so I was determined to correct the error by…staying closer to the other end of the color gradient.…My friends and family encouraged me…to move further down the color gradient.…
This course will introduce you to some of the key concepts behind artificial intelligence, including the differences between "strong" and "weak" AI. You'll see how AI has created questions around what it means to be intelligent and how much trust we should put in machines. Instructor Doug Rose explains the different approaches to AI, including machine learning and deep learning, and the practical uses for new AI-enhanced technologies. Plus, learn how to integrate AI with other technology, such as big data, and avoid some common pitfalls associated with programming AI.
- The history of AI
- Machine learning
- Technical approaches to AI
- AI in robotics
- Integrating AI with big data
- Avoiding pitfalls