Backends/SiaNet.Backend.MxNet/NDArrayOps.cs
/// <summary>
/// Returns the hyperbolic cosine  of the input array, computed element-wise... math::   cosh(x) = 0.5\times(exp(x) + exp(-x))The storage type of ``cosh`` output is always denseDefined in G:\deeplearn\mxnet\src\operator\tensor\elemwise_unary_op.cc:L805
/// </summary>
/// <param name="data">The input array.</param>
/// <returns>returns new symbol</returns>
Returns the hyperbolic cosine  of the input array, computed element-wise...
Returns the hyperbolic cosine of the input array computed element - wise ...
public static NDArray Cosh(NDArray data)
        {
            return new Operator("cosh")
            .SetInput("data", data)
            .Invoke();
        }
public static NDArray Cosh ( NDArray data ) { return new Operator ( " " ) . SetInput ( " " , data ) . Invoke ( ) ; }
Returns the hyperbolic cosine  of the input array, computed element-wise... math::   cosh(x) = 0.5\times(exp(x) + exp(-x))The storage type of ``cosh`` output is always denseDefined in G:\deeplearn\mxnet\src\operator\tensor\elemwise_unary_op.cc:L805
Returns the hyperbolic cosine of the input array computed element - wise ... math :: cosh ( x ) = 0 . 5 \ times ( exp ( x ) + exp ( - x )) The storage type of ` ` cosh ` ` output is always denseDefined in G : \ deeplearn \ mxnet \ src \ operator \ tensor \ elemwise_unary_op . cc : L805
returns new symbol
returns new symbol
data
NDArray
The input array.
The input array .