Index
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U
- Uniform - Class in mklab.JGNN.core.distribution
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Implements a Uniform
Distribution
of given bounds. - Uniform() - Constructor for class mklab.JGNN.core.distribution.Uniform
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Instantiates a uniform distribution that samples values from the range [0,1].
- Uniform(double, double) - Constructor for class mklab.JGNN.core.distribution.Uniform
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Instantiates a uniform distribution that samples values from the given range [from, to].
- unlock() - Method in class mklab.JGNN.nn.NNOperation.ThreadData
- unregister(double[]) - Method in class mklab.JGNN.core.Memory.Scope
- update(Tensor, Tensor) - Method in interface mklab.JGNN.nn.Optimizer
-
In-place updates the value of a tensor given its gradient.
- update(Tensor, Tensor) - Method in class mklab.JGNN.nn.optimizers.Adam
- update(Tensor, Tensor) - Method in class mklab.JGNN.nn.optimizers.BatchOptimizer
- update(Tensor, Tensor) - Method in class mklab.JGNN.nn.optimizers.GradientDescent
- update(Tensor, Tensor) - Method in class mklab.JGNN.nn.optimizers.Regularization
- updateAll() - Method in class mklab.JGNN.nn.optimizers.BatchOptimizer
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Updates all tracked variables with pending batch calculations using the wrapped optimizer.
- updateTape(Tensor, LSTM.LSTMState, Tensor) - Method in class mklab.JGNN.nn.operations.LSTM
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