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