def __init__(self, input_dim, input_tensor=None):
logging.info(DEEPY_MESSAGE)
self.input_dim = input_dim
self.input_tensor = input_tensor
self.parameter_count = 0
self.parameters = []
self.free_parameters = []
self.training_updates = []
self.updates = []
self.input_variables = []
self.target_variables = []
self.training_callbacks = []
self.testing_callbacks = []
self.epoch_callbacks = []
self.layers = []
self._test_outputs = []
self._test_output = None
self._hidden_outputs = []
self.training_monitors = []
self.testing_monitors = []
self.setup_variables()
self.train_logger = TrainLogger()
def __init__(self, input_dim, config=None, input_tensor=None):
logging.info(DEEPY_MESSAGE)
self.network_config = config if config else NetworkConfig()
self.input_dim = input_dim
self.input_tensor = input_tensor
self.parameter_count = 0
self.parameters = []
self.free_parameters = []
self.training_updates = []
self.updates = []
self.input_variables = []
self.target_variables = []
self.training_callbacks = []
self.testing_callbacks = []
self.epoch_callbacks = []
self.layers = []
self._hidden_outputs = []
self.training_monitors = []
self.testing_monitors = []
self.setup_variables()
self.train_logger = TrainLogger()
if self.network_config.layers:
self.stack(self.network_config.layers)
