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G

Gaussian(double) - Constructor for class me.yixqiao.jlearn.matrix.Matrix.Init.Gaussian

Create a new class.

Gaussian(double, double) - Constructor for class me.yixqiao.jlearn.matrix.Matrix.Init.Gaussian

Create a new class.

GaussianInit - Class in me.yixqiao.jlearn.initializers

Gaussian distribution initialization.

GaussianInit(double) - Constructor for class me.yixqiao.jlearn.initializers.GaussianInit

Create a new instance.

generation - Variable in class me.yixqiao.jlearn.genetic.Population

Which generation the population is on.

Genetic - Class in me.yixqiao.jlearn.testing

Run a genetic algorithm.

Genetic() - Constructor for class me.yixqiao.jlearn.testing.Genetic

getActivation() - Method in class me.yixqiao.jlearn.activations.Activation

Get a function that will apply the activation.

getActivation() - Method in class me.yixqiao.jlearn.activations.ElementwiseActivation

Returns a function that applies on each element.

getActivation() - Method in class me.yixqiao.jlearn.activations.Softmax

getActivation() - Method in class me.yixqiao.jlearn.layers.Dense

getActivation() - Method in class me.yixqiao.jlearn.layers.InputLayer

Return a linear activation.

getActivation() - Method in class me.yixqiao.jlearn.layers.Layer

Get the activation of the layer.

getEActivation() - Method in class me.yixqiao.jlearn.activations.ElementwiseActivation

Get the function that will be applied to each element.

getEActivation() - Method in class me.yixqiao.jlearn.activations.LeakyReLU

getEActivation() - Method in class me.yixqiao.jlearn.activations.Linear

getEActivation() - Method in class me.yixqiao.jlearn.activations.ReLU

getEActivation() - Method in class me.yixqiao.jlearn.activations.Sigmoid

getErrors(Matrix) - Method in class me.yixqiao.jlearn.layers.Dense

getErrors(Matrix) - Method in class me.yixqiao.jlearn.layers.InputLayer

No op.

getErrors(Matrix) - Method in class me.yixqiao.jlearn.layers.Layer

Get backpropagated errors.

getErrorsExpected(Matrix) - Method in class me.yixqiao.jlearn.layers.Dense

getErrorsExpected(Matrix) - Method in class me.yixqiao.jlearn.layers.InputLayer

No op.

getErrorsExpected(Matrix) - Method in class me.yixqiao.jlearn.layers.Layer

Get errors from output layer.

getETransferDerivative() - Method in class me.yixqiao.jlearn.activations.ElementwiseActivation

Return the function to transfer derivative that will be applied to each element.

getETransferDerivative() - Method in class me.yixqiao.jlearn.activations.LeakyReLU

getETransferDerivative() - Method in class me.yixqiao.jlearn.activations.Linear

getETransferDerivative() - Method in class me.yixqiao.jlearn.activations.ReLU

getETransferDerivative() - Method in class me.yixqiao.jlearn.activations.Sigmoid

getFormatString() - Method in class me.yixqiao.jlearn.losses.Loss

getFormatString() - Method in class me.yixqiao.jlearn.metrics.Accuracy

getFormatString() - Method in class me.yixqiao.jlearn.metrics.Metric

Get the string to format the metric.

getInit(int, int) - Method in class me.yixqiao.jlearn.initializers.GaussianInit

getInit(int, int) - Method in class me.yixqiao.jlearn.initializers.He

getInit(int, int) - Method in class me.yixqiao.jlearn.initializers.Initializer

Get the initialization method.

getInit(int, int) - Method in class me.yixqiao.jlearn.initializers.Xavier

getLoss(ArrayList<Matrix>, ArrayList<Matrix>) - Method in class me.yixqiao.jlearn.losses.CrossEntropy

getLoss(ArrayList<Matrix>, ArrayList<Matrix>) - Method in class me.yixqiao.jlearn.losses.Loss

Get the loss.

getLoss(ArrayList<Matrix>, ArrayList<Matrix>) - Method in class me.yixqiao.jlearn.losses.MeanSquaredError

getLoss(Loss, ArrayList<Matrix>, ArrayList<Matrix>) - Method in class me.yixqiao.jlearn.models.Model

Get the loss.

getLoss(Loss, Matrix, Matrix) - Method in class me.yixqiao.jlearn.models.Model

Get the loss.

getLoss(Matrix, Matrix) - Method in class me.yixqiao.jlearn.losses.Loss

Get the loss.

getMaxValue() - Method in class me.yixqiao.jlearn.matrix.Matrix

Get the greatest value in the matrix.

getMetric(ArrayList<Matrix>, ArrayList<Matrix>) - Method in class me.yixqiao.jlearn.losses.Loss

getMetric(ArrayList<Matrix>, ArrayList<Matrix>) - Method in class me.yixqiao.jlearn.metrics.Accuracy

getMetric(ArrayList<Matrix>, ArrayList<Matrix>) - Method in class me.yixqiao.jlearn.metrics.Metric

Get the value of the metric.

getMetric(Matrix, Matrix) - Method in class me.yixqiao.jlearn.metrics.Metric

Get the value of the metric.

getMetric(Metric, ArrayList<Matrix>, ArrayList<Matrix>) - Method in class me.yixqiao.jlearn.models.Model

Get a metric of the model.

getMetric(Metric, Matrix, Matrix) - Method in class me.yixqiao.jlearn.models.Model

Get a metric of the model.

getOutSize() - Method in class me.yixqiao.jlearn.layers.Dense

getOutSize() - Method in class me.yixqiao.jlearn.layers.InputLayer

getOutSize() - Method in class me.yixqiao.jlearn.layers.Layer

Get the output size of the layer.

getSum() - Method in class me.yixqiao.jlearn.matrix.Matrix

Get the sum of the elements.

getTransferDerivative() - Method in class me.yixqiao.jlearn.activations.Activation

Get a function that will transfer derivative onto an already-activated matrix.

getTransferDerivative() - Method in class me.yixqiao.jlearn.activations.ElementwiseActivation

Return a function that will transfer derivative on each element.

getTransferDerivative() - Method in class me.yixqiao.jlearn.activations.Sigmoid

getTransferDerivative() - Method in class me.yixqiao.jlearn.activations.Softmax

getTranspose() - Method in class me.yixqiao.jlearn.matrix.Matrix

Get the matrix transpose.

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