Uses of Class
deepnetts.tensor.Tensor1D

Packages that use Tensor1D

Package	Description
deepnetts.net.layers	Neural network layers, which are main building blocks of a neural network.
deepnetts.tensor

Uses of Tensor1D in deepnetts.net.layers

Methods in deepnetts.net.layers that return Tensor1D

Modifier and Type	Method	Description
Tensor1D	AbstractLayer.getDeltaBiases()
Tensor1D	AbstractLayer.getPrevDeltaBiases()

Methods in deepnetts.net.layers with parameters of type Tensor1D

Modifier and Type	Method	Description
void	AbstractLayer.setBiases(Tensor1D biases)

Uses of Tensor1D in deepnetts.tensor

Methods in deepnetts.tensor that return Tensor1D

Modifier and Type	Method	Description
Tensor1D	Tensor2D.dotProdFromCache(Tensor1D vectorB, Tensor1D result)	Performs dot product operation on this 2d tensor (matrix) and vector , and stores results in result tensor.
static Tensor1D	Tensors.dotProduct(Tensor2D matrixA, Tensor1D vectorB, Tensor1D resultC)	Dot product matrix vector multiplication C = A .
static Tensor1D	Tensor1D.of(float[] values)
static Tensor1D	Tensors.ones(int size)
static Tensor1D	Tensors.random(int size)	Generates a random 1D tensor with the specified dimensions.
static Tensor1D	Tensors.zeros(int size)

Methods in deepnetts.tensor with parameters of type Tensor1D

Modifier and Type	Method	Description
final Tensor2D	Tensor2D.add(Tensor1D toAdd)
Tensor1D	Tensor2D.dotProdFromCache(Tensor1D vectorB, Tensor1D result)	Performs dot product operation on this 2d tensor (matrix) and vector , and stores results in result tensor.
static Tensor1D	Tensors.dotProduct(Tensor2D matrixA, Tensor1D vectorB, Tensor1D resultC)	Dot product matrix vector multiplication C = A .
static void	Tensors.dotProductBuffered(Tensor2D matrixA, Tensor1D vectorB, Tensor1D resultC)	Matrix vector dot product.