Package | Description |
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deepnetts.data |
Data structures to store example data used for building machine learning models.
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deepnetts.data.norm |
Data normalization methods, used to scale data to specific range, in order to make them suitable for use by a neural network.
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deepnetts.net |
Neural network architectures with their corresponding builders.
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deepnetts.net.layers |
Neural network layers, which are main building blocks of a neural network.
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deepnetts.net.layers.activation |
Activation functions for neural network layers.
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deepnetts.util |
Various utility classes including Tensor, image operations, multithreading, exceptions etc.
|
Class and Description |
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CsvFormat
Various options for CSV file format including delimiter, column names and column types.
|
DeepNettsException |
ImageResize |
Tensor
This class represents a wrapper for multidimensional array.
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Class and Description |
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Tensor
This class represents a wrapper for multidimensional array.
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Class and Description |
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Tensor
This class represents a wrapper for multidimensional array.
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Class and Description |
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Tensor
This class represents a wrapper for multidimensional array.
|
Class and Description |
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Tensor
This class represents a wrapper for multidimensional array.
|
Class and Description |
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ColumnType |
DeepNettsException |
DeepNettsThreadPool
Dedicated thread pool for Deep Netts Engine.
|
DescriptiveStatistics |
ImageResize |
Parameter |
RandomGenerator
Random number generator singleton.
|
Range |
RangeConsumer |
Shape
Immutable class that represents Tensor shape.
|
StatUtils.Histogram |
Tensor
This class represents a wrapper for multidimensional array.
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