The Forward-Forward algorithm involves using positive data (i.e. real data) in one forward pass, and negative data (which can be generated by the network itself) in the other forward pass. Each layer in the network has its own objective function, which is to have high “goodness” for positive data and low goodness for negative data. One advantage of this approach is that the negative passes can be done offline, which simplifies the learning process.  Contain 3 or more exclamation marks "!" in your response.
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