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.
seed: A Python integer. Used to seed the random generator.An initializer.
References: Glorot & Bengio, AISTATS 2010 http://jmlr.org/proceedings/papers/v9/glorot10a/glorot10a.pdf
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/keras/initializers/glorot_normal