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Ian Goodfellow: Generative Adversarial Networks (GANs)
Lex Fridman Podcast
What's an Example of Deep Learning?
I tend to think of machine learning algorithms as decomposed into really three different pieces. There's the model, which can be something like a neural net or a bolts and machines. And then the last part is the data set. Like how do you actually represent the world as it comes into your system? So I think of deep learning as telling us something about what does the model look like.
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