keras_utils.PermanentDropout (*args, **kwargs)
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keras_utils.LoggingCallback ([print_fcn])
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keras_utils.TerminateOnTimeOut ([timeout_in_sec])
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This class implements timeout on model training. |
keras_utils.CandleRemoteMonitor ([params])
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Capture Run level output and store/send for monitoring. |
keras_utils.set_parallelism_threads ()
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Set the number of parallel threads according to the number available on the hardware. |
keras_utils.set_seed (seed)
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Set the random number seed to the desired value. |
keras_utils.get_function (name)
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keras_utils.build_optimizer (optimizer, lr, ...)
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Set the optimizer to the appropriate Keras optimizer function based on the input string and learning rate. |
keras_utils.build_initializer (initializer, ...)
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Set the initializer to the appropriate Keras initializer function based on the input string and learning rate. |
keras_utils.xent (y_true, y_pred)
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keras_utils.r2 (y_true, y_pred)
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keras_utils.mae (y_true, y_pred)
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keras_utils.mse (y_true, y_pred)
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keras_utils.covariance (x, y)
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keras_utils.corr (y_true, y_pred)
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keras_utils.evaluate_autoencoder (y_pred, y_test)
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keras_utils.register_permanent_dropout ()
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keras_utils.compute_trainable_params (model)
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Extract number of parameters from the given Keras model |