Q. Can probability of error in recall be reduced?

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Q. Number of desired patterns is what of basins of attraction?

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Q. What happens when number of patterns is more than number of basins of attraction?

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Q. What happens when number of patterns is less than number of basins of attraction?

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Q. What is hopfield model?

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Q. When are false wells created?

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Q. When does storage problem becomes hard problem?

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Q. How can states of units be updated in hopfield model?

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Q. What is synchronous update in hopfield model?

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Q. What is asynchronous update in hopfield model?

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Q. Asynchronous update ensures that the next state is atmost unit hamming distance from current state, is that true?

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Q. If pattern is to be stored, then what does stable state should have updated value of?

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Q. For symmetric weights there exist?

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Q. If connections are not symmetric then basins of attraction may correspond to?

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Q. For analysis of storage capacity what are the conditions imposed on hopfield model?

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Q. What is gradient descent?

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Q. If connections are not symmetric then basins of attraction may correspond to oscillatory or stable regions, is that true?

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Q. In hopfield network with symmetric weights, energy at each state may?

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Q. In hopfield model with symmetric weights, network can move to?

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Q. Can error in recall due to false minima be reduced?

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