tf.compat.v1.initializers.lecun_uniform | TensorFlow v2.16.1 (original) (raw)
tf.compat.v1.initializers.lecun_uniform
LeCun uniform initializer.
tf.compat.v1.initializers.lecun_uniform(
seed=None
)
It draws samples from a uniform distribution within [-limit, limit] where limit is sqrt(3 / fan_in)where fan_in is the number of input units in the weight tensor.
| Args | |
|---|---|
| seed | A Python integer. Used to seed the random generator. |
| Returns |
|---|
| An initializer. |
| References |
|---|
| Self-Normalizing Neural Networks,Klambauer et al., 2017 (pdf) Efficient Backprop,Lecun et al., 1998 |
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Last updated 2024-04-26 UTC.