tf.abs(x, name=None) Computes the absolute value of a tensor. Given a tensor of real numbers x

tf.matrix_solve_ls(matrix, rhs, l2_regularizer=0.0, fast=True, name=None) Solves one or more linear least-squares problems.

tf.reduce_min(input_tensor, reduction_indices=None, keep_dims=False, name=None) Computes the minimum of elements across dimensions

tf.exp(x, name=None) Computes exponential of x element-wise. \(y = e^x\). Args:

tf.sin(x, name=None) Computes sin of x element-wise. Args:

tf.segment_sum(data, segment_ids, name=None) Computes the sum along segments of a tensor. Read

tf.sign(x, name=None) Returns an element-wise indication of the sign of a number. y = sign(x)

tf.listdiff(x, y, out_idx=None, name=None) Computes the difference between two lists of numbers or strings.

tf.unsorted_segment_sum(data, segment_ids, num_segments, name=None) Computes the sum along segments of a tensor.

tf.matrix_transpose(a, name='matrix_transpose') Transposes last two dimensions of tensor a. For