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

tf.contrib.graph_editor.filter_ops_from_regex(ops, regex) Get all the operations that match the given regex.

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

tf.contrib.learn.RunConfig.__init__(master=None, task=None, num_ps_replicas=None, num_cores=0, log_device_placement=False, gpu_memory_fraction=1, cluster_spec=None,

class tf.TensorArray Class wrapping dynamic-sized, per-time-step, write-once Tensor arrays. This

tf.contrib.distributions.ExponentialWithSoftplusLam.__init__(lam, validate_args=False, allow_nan_stats=True, name='ExponentialWithSoftplusLam')

tf.contrib.distributions.NormalWithSoftplusSigma.log_pmf(value, name='log_pmf') Log probability mass function.

tf.contrib.distributions.Bernoulli.name Name prepended to all ops created by this Distribution.

tf.contrib.metrics.auc_using_histogram(boolean_labels, scores, score_range, nbins=100, collections=None, check_shape=True, name=None) AUC

tf.contrib.distributions.QuantizedDistribution.log_cdf(value, name='log_cdf') Log cumulative distribution function.