tf.SparseTensor.from_value(cls, sparse_tensor_value)

tf.contrib.rnn.TimeFreqLSTMCell.__call__(inputs, state, scope=None) Run one step of LSTM. Args:

tf.contrib.distributions.NormalWithSoftplusSigma.sigma Distribution parameter for standard deviation.

tf.contrib.distributions.InverseGamma.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters given

tf.image.convert_image_dtype(image, dtype, saturate=False, name=None) Convert image to dtype, scaling

tf.cholesky(input, name=None) Computes the Cholesky decomposition of one or more square matrices. The

tf.FixedLenSequenceFeature.__repr__() Return a nicely formatted representation string

tf.contrib.distributions.Poisson.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters given the

int64 tensorflow::Tensor::NumElements() const Convenience accessor for the tensor shape.

tf.contrib.distributions.Distribution.cdf(value, name='cdf') Cumulative distribution function. Given