Learning Involves Attention

  title={Learning Involves Attention},
  author={John K. Kruschke},
LEARNING INVOLVES ATTENTION 2 Attention in learning One of the primary factors in the resurgence of connectionist modeling is these models’ ability to learn input-output mappings. Simply by presenting the models with examples of inputs and the corresponding outputs, the models can learn to reproduce the examples and to generalize in interesting ways. After the limitations of perceptron learning (Minsky & Papert, 1969; Rosenblatt, 1958) were overcome, most notably by the backpropagation… CONTINUE READING


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