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124 - Jay McClelland: Deep Learning, Neural Networks, and Artificial Intelligence
Robinson's Podcast
The Neural Network's Ability to Recognize Letters
The hypothesis that accounts for why it's easier to identify a letter when it appears in a word rather than when it is by itself is that the recognition that it's a certain letter is reinforced by units in the neural network. In principle, for each of the letters in the word, there would be a set of possibilities that would all be consistent with the input. But if the letters were all competing with each other and each of them is in each position, there's a couple that are equally consistent with theinput.
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