Uses of Class
engine.neural.Vector

Packages that use Vector

Package	Description
engine.neural
engine.neural.costs
engine.neural.networks
engine.neural.optimizers

Uses of Vector in engine.neural

Methods in engine.neural that return Vector

Modifier and Type	Method	Description
Vector	Vector.copy()
Vector	Cost.derivative(Vector output, Vector target)
Vector	Matrix.getCol(int col)
Vector	Vector.getNormal()
Vector	Matrix.getRow(int row)
Vector	Matrix.multiply(Vector b)
Vector	Network.predict(Vector input)

Methods in engine.neural with parameters of type Vector

Modifier and Type	Method	Description
float	Cost.calculate(Vector output, Vector target)
Vector	Cost.derivative(Vector output, Vector target)
float	Vector.dot(Vector b)
Vector	Matrix.multiply(Vector b)
Vector	Network.predict(Vector input)
void	Network.step(Vector input, Vector expected)
void	Network.train(Vector[] inputs, Vector[] expected, int epochs)
void	Optimizer.updateBiases(Vector biases, Vector delta)

Uses of Vector in engine.neural.costs

Methods in engine.neural.costs that return Vector

Modifier and Type	Method	Description
Vector	BinaryCrossEntropy.derivative(Vector output, Vector target)
Vector	MeanAbsoluteError.derivative(Vector output, Vector target)
Vector	MeanSquaredError.derivative(Vector output, Vector target)
Vector	RootMeanSquare.derivative(Vector output, Vector target)

Methods in engine.neural.costs with parameters of type Vector

Modifier and Type	Method	Description
float	BinaryCrossEntropy.calculate(Vector output, Vector target)
float	MeanAbsoluteError.calculate(Vector output, Vector target)
float	MeanSquaredError.calculate(Vector output, Vector target)
float	RootMeanSquare.calculate(Vector output, Vector target)
Vector	BinaryCrossEntropy.derivative(Vector output, Vector target)
Vector	MeanAbsoluteError.derivative(Vector output, Vector target)
Vector	MeanSquaredError.derivative(Vector output, Vector target)
Vector	RootMeanSquare.derivative(Vector output, Vector target)

Uses of Vector in engine.neural.networks

Fields in engine.neural.networks declared as Vector

Modifier and Type	Field	Description
private Vector[]	Feedforward.activations
private Vector[]	Feedforward.biases
private Vector[]	Feedforward.preActivations

Methods in engine.neural.networks that return Vector

Modifier and Type	Method	Description
private Vector	Feedforward.forward(Vector input)
Vector	Convolutional.predict(Vector input)
Vector	DeepQ.predict(Vector input)
Vector	Evolutionary.predict(Vector input)
Vector	Feedforward.predict(Vector input)
Vector	Recurrent.predict(Vector input)
Vector	Transformer.predict(Vector input)

Methods in engine.neural.networks with parameters of type Vector

Modifier and Type	Method	Description
private void	Feedforward.backward(Vector output, Vector expected)
private Vector	Feedforward.forward(Vector input)
Vector	Convolutional.predict(Vector input)
Vector	DeepQ.predict(Vector input)
Vector	Evolutionary.predict(Vector input)
Vector	Feedforward.predict(Vector input)
Vector	Recurrent.predict(Vector input)
Vector	Transformer.predict(Vector input)
void	Convolutional.step(Vector input, Vector expected)
void	DeepQ.step(Vector input, Vector expected)
void	Evolutionary.step(Vector input, Vector expected)
void	Feedforward.step(Vector input, Vector expected)
void	Recurrent.step(Vector input, Vector expected)
void	Transformer.step(Vector input, Vector expected)
void	Convolutional.train(Vector[] inputs, Vector[] expected, int epochs)
void	DeepQ.train(Vector[] inputs, Vector[] expected, int epochs)
void	Evolutionary.train(Vector[] inputs, Vector[] expected, int epochs)
void	Feedforward.train(Vector[] inputs, Vector[] expected, int epochs)
void	Recurrent.train(Vector[] inputs, Vector[] expected, int epochs)
void	Transformer.train(Vector[] inputs, Vector[] expected, int epochs)

Uses of Vector in engine.neural.optimizers

Fields in engine.neural.optimizers with type parameters of type Vector

Modifier and Type	Field	Description
private IdentityHashMap<Vector,Vector>	SGDMomentum.velocityBiases	Store velocity matrix based off of which vector is given
private IdentityHashMap<Vector,Vector>	SGDMomentum.velocityBiases	Store velocity matrix based off of which vector is given

Methods in engine.neural.optimizers with parameters of type Vector

Modifier and Type	Method	Description
void	Adam.updateBiases(Vector biases, Vector delta)
void	AdamW.updateBiases(Vector biases, Vector delta)
void	RMSProp.updateBiases(Vector biases, Vector delta)
void	SGD.updateBiases(Vector biases, Vector delta)
void	SGDMomentum.updateBiases(Vector biases, Vector delta)