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

tf.unique(x, out_idx=None, name=None) Finds unique elements in a 1-D tensor. This operation returns

tf.sparse_segment_mean(data, indices, segment_ids, name=None) Computes the mean along sparse segments of a tensor.

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

tf.matrix_determinant(input, name=None) Computes the determinant of one ore more square matrices. The

tf.igammac(a, x, name=None) Compute the upper regularized incomplete Gamma function Q(a, x). The

tf.fft(input, name=None) Compute the 1-dimensional discrete Fourier Transform over the inner-most dimension

tf.trace(x, name=None) Compute the trace of a tensor x. trace(x) returns

tf.betainc(a, b, x, name=None) Compute the regularized incomplete beta integral \(I_x(a, b)\). The

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