weight likes triaining data likes input
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pattern recognition could be down by making weight looks like training data and hence the input.
This works in Hebb’s rule as input could only be 1 and 0 and larger weight on the pattern’s 1 slots make it easier for the pattern to fire output 1.
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unsupervised learning
unsupervised learning algorithms are learning algorithms that do not use labels.