tf.argmin(input, dimension, name=None) Returns the index with the smallest value across dimensions of a tensor.
tf.reduce_prod(input_tensor, reduction_indices=None, keep_dims=False, name=None) Computes the product of elements across dimensions
tf.minimum(x, y, name=None) Returns the min of x and y (i.e. x < y ? x : y) element-wise. NOTE:
tf.invert_permutation(x, name=None) Computes the inverse permutation of a tensor. This operation
tf.pow(x, y, name=None) Computes the power of one value to another. Given a tensor x
tf.asin(x, name=None) Computes asin of x element-wise. Args:
tf.erf(x, name=None) Computes the Gauss error function of x element-wise. Args:
tf.add_n(inputs, name=None) Adds all input tensors element-wise. Args:
tf.segment_min(data, segment_ids, name=None) Computes the minimum along segments of a tensor. Read
tf.matrix_inverse(input, adjoint=None, name=None) Computes the inverse of one or more square invertible matrices or their
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