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tf.random.truncated_normal

Outputs random values from a truncated normal distribution.

The generated values follow a normal distribution with specified mean and standard deviation, except that values whose magnitude is more than 2 standard deviations from the mean are dropped and re-picked.

`shape` A 1-D integer Tensor or Python array. The shape of the output tensor.
`mean` A 0-D Tensor or Python value of type `dtype`. The mean of the truncated normal distribution.
`stddev` A 0-D Tensor or Python value of type `dtype`. The standard deviation of the normal distribution, before truncation.
`dtype` The type of the output.
`seed` A Python integer. Used to create a random seed for the distribution. See `tf.compat.v1.set_random_seed` for behavior.
`name` A name for the operation (optional).

A tensor of the specified shape filled with random truncated normal values.

[{ "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"label":"Too complicated / too many steps" },{ "type": "thumb-down", "id": "outOfDate", "label":"Out of date" },{ "type": "thumb-down", "id": "samplesCodeIssue", "label":"Samples / code issue" },{ "type": "thumb-down", "id": "otherDown", "label":"Other" }]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" }]