Uses of Package
deepnetts.tensor
Packages that use deepnetts.tensor
Package
Description
Data structures to store example data used for building machine learning models.
Data normalization methods, used to scale data to specific range, in order to make them suitable for use by a neural network.
Neural network architectures with their corresponding builders.
Neural network layers, which are main building blocks of a neural network.
Activation functions for neural network layers.
Commonly used loss functions, which are used to calculate error during the training as a difference between predicted and target output.
Various utility classes including Tensor, image operations, multithreading, exceptions etc.
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Classes in deepnetts.tensor used by deepnetts.cudnnClassDescriptionA 2D tensor / matrix with specified number of rows and columns..This class represents a wrapper for multidimensional array.
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Classes in deepnetts.tensor used by deepnetts.data
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Classes in deepnetts.tensor used by deepnetts.data.norm
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Classes in deepnetts.tensor used by deepnetts.net
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Classes in deepnetts.tensor used by deepnetts.net.layersClassDescriptionOne dimensional tensor - a vector or an array.This class represents a wrapper for multidimensional array.
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Classes in deepnetts.tensor used by deepnetts.net.layers.activation
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Classes in deepnetts.tensor used by deepnetts.net.loss
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Classes in deepnetts.tensor used by deepnetts.tensorClassDescriptionImmutable class that represents Tensor shape.One dimensional tensor - a vector or an array.A 2D tensor / matrix with specified number of rows and columns..This class represents a wrapper for multidimensional array.
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Classes in deepnetts.tensor used by deepnetts.util