Learn how to set up a physical context. Learn about knowing your environment and how to react.
- Machine learning has gotten a big boost…from artificial neural networks.…An artificial neural network is a computer program…that tries to mimic the structure of the human brain.…Think of it this way.…A biological brain is filled with billions of neurons.…These neurons connect to one another…and sends signals as a way to learn and react…to the outside world.…These neurons communicate through synapses.…These synapses allow the neuron to fire signals…to other connected neurons.…
The neurons will increase the strength of their connections…based on your experiences.…So, if you want to learn how to juggle,…your brain will create new connections…and strengthen existing signals.…That's why you can often improve your juggling over time.…Your brain is strengthening these paths…to help control your eyes and hands.…The neurons in an artificial neural network…are organized into layers.…These layers are like players in a marching band.…You start with the first players in the input layer…and then hop from player to player…until you get to the final output layer.…
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