Google I/O is a wrap! Catch up on TensorFlow sessions

Use Gauss-Hermite quadrature to form quadrature on `K - 1` simplex. (deprecated)

A `SoftmaxNormal` random variable `Y` may be generated via

``````Y = SoftmaxCentered(X),
X = Normal(normal_loc, normal_scale)
``````

`normal_loc` `float`-like `Tensor` with shape `[b1, ..., bB, K-1]`, B>=0. The location parameter of the Normal used to construct the SoftmaxNormal.
`normal_scale` `float`-like `Tensor`. Broadcastable with `normal_loc`. The scale parameter of the Normal used to construct the SoftmaxNormal.
`quadrature_size` Python `int` scalar representing the number of quadrature points.
`validate_args` Python `bool`, default `False`. When `True` distribution parameters are checked for validity despite possibly degrading runtime performance. When `False` invalid inputs may silently render incorrect outputs.
`name` Python `str` name prefixed to Ops created by this class.

`grid` Shape `[b1, ..., bB, K, quadrature_size]` `Tensor` representing the convex combination of affine parameters for `K` components. `grid[..., :, n]` is the `n`-th grid point, living in the `K - 1` simplex.
`probs` Shape `[b1, ..., bB, K, quadrature_size]` `Tensor` representing the associated with each grid point.

[{ "type": "thumb-down", "id": "missingTheInformationINeed", "label":"Missing the information I need" },{ "type": "thumb-down", "id": "tooComplicatedTooManySteps", "label":"Too complicated / too many steps" },{ "type": "thumb-down", "id": "outOfDate", "label":"Out of date" },{ "type": "thumb-down", "id": "samplesCodeIssue", "label":"Samples / code issue" },{ "type": "thumb-down", "id": "otherDown", "label":"Other" }]
[{ "type": "thumb-up", "id": "easyToUnderstand", "label":"Easy to understand" },{ "type": "thumb-up", "id": "solvedMyProblem", "label":"Solved my problem" },{ "type": "thumb-up", "id": "otherUp", "label":"Other" }]