Issue
how can I change
tf.contrib.layers.xavier_initializer()
to tf version >= 2.0.0 ??
all codes:
W1 = tf.get_variable("W1", shape=[self.input_size, h_size],
initializer=tf.contrib.layers.xavier_initializer())
Solution
the TF2 replacement for tf.contrib.layers.xavier_initializer()
is tf.keras.initializers.glorot_normal
(Xavier and Glorot are 2 names for the same initializer algorithm) documentation link.
if dtype is important for some compatibility reasons – use tf.compat.v1.keras.initializers.glorot_normal
Answered By – Poe Dator
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