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Add example of model configuration dictionary logging
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@ -90,6 +90,8 @@ model.compile(loss='categorical_crossentropy',
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# Connecting TRAINS
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task = Task.init(project_name='examples', task_name='Keras with TensorBoard example')
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task.set_model_config(config_dict={'test': 1337, 'nested': {'key': 'value', 'number': 1}})
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# Advanced: setting model class enumeration
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labels = dict(('digit_%d' % i, i) for i in range(10))
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task.set_model_label_enumeration(labels)
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