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Home > Data Skeptic > [MINI] The Perceptron
Podcast: Data Skeptic
Episode:

[MINI] The Perceptron
Category: Religion & Spirituality
Duration: 00:14:46
Publish Date: 2017-03-10 10:00:00
Description:

Today's episode overviews the perceptron algorithm. This rather simple approach is characterized by a few particular features. It updates its weights after seeing every example, rather than as a batch. It uses a step function as an activation function. It's only appropriate for linearly separable data, and it will converge to a solution if the data meets these criteria. Being a fairly simple algorithm, it can run very efficiently. Although we don't discuss it in this episode, multi-layer perceptron networks are what makes this technique most attractive.
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