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| Interface Summary | |
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| Randomizer | Defines the interface for a class that is capable of randomizing the weights and thresholds of a neural network. |
| Class Summary | |
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| BasicRandomizer | Provides basic functionality that most randomizers will need. |
| Distort | A randomizer that distorts what is already present in the neural network. |
| FanInRandomizer | A randomizer that attempts to create starting weight values that are conducive to back propagation training. |
| RangeRandomizer | A randomizer that will create random weight and threshold values that are between a specified range. |
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