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org.neuroph.core | Provides base classes and basic building components for neural networks. |
org.neuroph.core.events | Provides neural network learning events system |
org.neuroph.core.exceptions | Provides specific exceptions when working with neural networks |
org.neuroph.core.input | Provides common neuron input functions |
org.neuroph.core.learning | Provides base classes for neural network learning algorithms. |
org.neuroph.core.transfer | Provides common neuron transfer functions |
org.neuroph.nnet | Provides out-of-the-box neural networks |
org.neuroph.nnet.comp | Provides components for the specific neural network models. |
org.neuroph.nnet.comp.layer | Provides various specific layer types |
org.neuroph.nnet.comp.neuron | Provides various specific neuron types |
org.neuroph.nnet.learning | Provides implementations of specific neural network learning algorithms. |
org.neuroph.util | Provides various utility classes for creating neural networks, type codes, parsing vectors, etc. |
org.neuroph.util.benchmark | Provides microbenchmaarking framework for measuring and comparing Neuroph performance. |
org.neuroph.util.io | Provides input/output adapters for file, JDBC, URL, stream |
org.neuroph.util.norm | Provides data normalization techniques |
org.neuroph.util.plugins | Provides various plugins for neural networks. |
org.neuroph.util.random | Provides weights randomization techniques |
test |
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