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Dense layers use relu with xavier initialization #195

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saydemr opened this issue Mar 12, 2023 · 0 comments
Open

Dense layers use relu with xavier initialization #195

saydemr opened this issue Mar 12, 2023 · 0 comments

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@saydemr
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saydemr commented Mar 12, 2023

It is known that He initialization works better with ReLU since Xavier kill half of the input. So, in layers.py

self.vars['weights'] = tf.get_variable('weights', shape=(input_dim, output_dim),
                                         dtype=tf.float32, 
                                         initializer=tf.contrib.layers.variance_scaling_initializer(),
                                         regularizer=tf.contrib.layers.l2_regularizer(FLAGS.weight_decay))

JFR.
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