Explain the main concept of Artificial Neural networks (ANN) as a set of layers that starts with an input layer that has sensors and the output layer that gives the predicted result (predictions) with hidden layers in between based on the ANN architecture and its specific type of application Knowledge One Individual Practical Assignment

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Artificial Neural networks is a computational tool that is made up of a let of processing elements that takes in inputs and deliver outputs using a predefined activation codes.

What are the layers in an artificial neural network?

There are 3 Artificial olfactory sense and recognition system that are found in ANN.  It is made up of:

  • An input layer.
  • An Hidden layer.
  • An Output layer.

Note that these layers above help to tell more about the Artificial Neural networks (ANN).

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