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NMZivkovic/lrandradius.py

Created August 27, 2018 19:31
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lrandradius.py
#Calculate learning rate and radius
decay_function = tf.subtract(1.0, tf.div(self._iter_input, self._num_iter))
_current_learning_rate = tf.multiply(self._learning_rate, decay_function)
_current_radius = tf.multiply(self._radius, decay_function)
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