From the course: Supervised Learning Essential Training
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Preprocessing data for modeling - Python Tutorial
From the course: Supervised Learning Essential Training
Preprocessing data for modeling
- [Narrator] There are six major types of neural networks. I already talked about the most popular type. Artificial neural networks in the previous video. Another type of neural network is feedforward. This type of neural network is the least complex and there's no back propagation algorithm to correct the errors automatically. Radial basis functions consider the distance of a point with respect to the center. They have two layers. The first layer combines features with the radial basis function and the second takes the output of these features and computes the output again in the next function. Kohonen self-organizing maps take input vectors arbitrary dimensions to a discreet map of neurons. The map still has to be trained in order to self-organize. So typically the maps location is constant but the weights differ. Euclidean distance is used to calculate the distance between the point and the…
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