tf.keras.initializers.glorot_normal

tf.keras.initializers.glorot_normal(seed=None)

Defined in tensorflow/python/keras/_impl/keras/initializers.py.

Glorot normal initializer, also called Xavier normal initializer.

It draws samples from a truncated normal distribution centered on 0 with stddev = sqrt(2 / (fan_in + fan_out)) where fan_in is the number of input units in the weight tensor and fan_out is the number of output units in the weight tensor.

Arguments:

  • seed: A Python integer. Used to seed the random generator.

Returns:

An initializer.

References: Glorot & Bengio, AISTATS 2010 http://jmlr.org/proceedings/papers/v9/glorot10a/glorot10a.pdf