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Clojure for Machine Learning by Akhil Wali

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Understanding multilayer perceptron ANNs

We now introduce a simple model of feed-forward neural networks—the Multilayer Perceptron model. This model represents a basic feed-forward neural network and is versatile enough to model regression and classification problems in the domain of supervised learning. All the input flows through a feed-forward neural network in a single direction. This is a direct consequence of the fact that there is no feedback from or to any layer in a feed-forward neural network.

By feedback, we mean that the output of a given layer is fed back as input to the perceptrons in a previous layer in the ANN. Also, using a single layer of perceptrons would mean using only a single activation function, which is equivalent to using ...

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