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Training Neural Networks #4

Season 1 Episode 4 | 12m 08s

We’re going to talk about how neurons in a neural network learn by getting their math adjusted, called backpropagation, and how we can optimize networks by finding the best combinations of weights to minimize error.

Aired: 08/29/19
Extras
In our final episode of Crash Course AI, we're going to look towards the future.
Jabril tries to make an AI to settle the question once and for all.
We're going to talk about 5 common types of algorithmic bias we should pay attention to.
Search engines are just AI systems that try to help us find what we’re looking for.
We need to save Jabril and John Green Bot’s movie nights.
We’re going to talk about recommender systems.
One of the most common ways we interact with computers is through language
We’re going to focus on the benefits of humans and AI working together.
We create a game and then build an AI to destroy it.
One of the best test spaces for building new AI systems are games.
Latest Episodes
In our final episode of Crash Course AI, we're going to look towards the future.
Jabril tries to make an AI to settle the question once and for all.
We're going to talk about 5 common types of algorithmic bias we should pay attention to.
Search engines are just AI systems that try to help us find what we’re looking for.
We need to save Jabril and John Green Bot’s movie nights.
We’re going to talk about recommender systems.
One of the most common ways we interact with computers is through language
We’re going to focus on the benefits of humans and AI working together.
We create a game and then build an AI to destroy it.
One of the best test spaces for building new AI systems are games.