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# Core 2.7 API

Packages
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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