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# Neuroph API Specification

Packages
org.neuroph.contrib | Provides various contributions from the Neuroph community.
org.neuroph.contrib.imgrec | Provides classes for image recognition with neural networks.
org.neuroph.contrib.ocr | Provides classes for ocr with neural networks.
org.neuroph.core | Provides base classes and basic building components for neural networks.
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.learning | Provides implementations of specific neural network learning algorithms.
org.neuroph.samples | Provides some basic examples of how to use Neuroph.
org.neuroph.samples.stockmarket | Provides basic example of stock market prediction with neural networks.
org.neuroph.samples.timeseries | Provides data set generators used in time series prediction tutorial.
org.neuroph.util | Provides various utility classes for creating neural networks, type codes, parsing vectors, etc.
org.neuroph.util.plugins | Provides various plugins for neural networks.

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