package
0.0.0-20240226214843-e3d2a19564fd
Repository: https://github.com/pointlander/gradient.git
Documentation: pkg.go.dev

# Packages

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# Functions

Gradient computes the gradient.
NewV create a new identity tensor value.
NewSet creates a new weight set.
NewV create a new tensor value.
Panic marks a place we should never get to.

# Constants

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LFSRMask is a LFSR mask with a maximum period.
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S is the scaling factor for the softmax.

# Variables

Abs computes the absolute value of the tensor.
Add adds two tensors.
Avg computes the average of the tensor.
B converts a binary function into an operator.
Concat concats two tensors.
Copy copies src tensors into dst.
Cos the cosine of a tensor.
CrossEntropy computes the cross entropy cost of two tensors.
Dropout is a dropout regularization function.
Entropy computes the entropy of the vectors.
Everett computes the split reality activation function.
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Exp the base e exponential of a tensor.
Hadamard computes the hadamard product of two tensors.
Log the natural logarithm of a tensor.
Mul multiplies two tensors.
Op is a operation.
Orthogonality computes the cosine similarity between all vectros.
Quadratic computes the quadratic cost of two tensors.
Quantize quantizes the values.
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Sigmoid the sigmoid of a tensors.
Similarity computes the cosine similarity cost of two tensors.
Sin the sin of a tensors.
Slice slices the matrix.
Softmax is the softmax function.
Softplus the softplus activation function.
Static is the static context.
Sub subtracts two tensors.
Sum sums a vector.
SumRows sums the rows of the matrix.
T the transpose of the matrix.
TanH the hyperbolic tangent of a tensor.
U converts a unary function into an operator.
Variance computes the variance of the vectors.

# Structs

Context is a function context.
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# Type aliases

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