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Crash Course: Artificial Intelligence
Neural Networks and Deep Learning #3
Season 1
Episode 3
Artificial neural networks are better than other methods for more complicated tasks like image recognition, and the key to their success is their hidden layers. We'll talk about how the math of these networks work and how using many hidden layers allows us to do deep learning.
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10:50
In our final episode of Crash Course AI, we're going to look towards the future.
13:01
Jabril tries to make an AI to settle the question once and for all.
10:56
We're going to talk about 5 common types of algorithmic bias we should pay attention to.
11:08
Search engines are just AI systems that try to help us find what we’re looking for.
14:33
We need to save Jabril and John Green Bot’s movie nights.
10:19
We’re going to talk about recommender systems.
9:56
We’re going to focus on the benefits of humans and AI working together.
13:06
We create a game and then build an AI to destroy it.
11:11
One of the best test spaces for building new AI systems are games.
9:52
Robots are built to perform specific tasks.
13:01
Symbolic AI represents problems using symbols and then uses logic to search for solutions.
11:07
Reinforcement Learning.