Changing default optimiser behaviour to use non-stochastic evaluation for stochastic layers.
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@ -19,7 +19,7 @@ class Optimiser(object):
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def __init__(self, model, error, learning_rule, train_dataset,
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valid_dataset=None, data_monitors=None, schedulers=[],
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use_stochastic_eval=True):
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use_stochastic_eval=False):
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"""Create a new optimiser instance.
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Args:
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