autoencoders.py 文件源码

def __init__(self, n_input, n_hidden, activation_func='softplus', 
        optimizer_name='AdamOptimizer',
        learning_rate=0.001,
        logdir='/tmp',
        log_every_n=100, 
        session_kwargs={},
        seed=42,
        tied_weights=False,
        linear_decoder=True,
        ):
        '''
        params:

        activation_func (string): a name of activation_func in tf.nn 
        optimizer_name (string): a name of the optimizer object name tf.train
        '''
        self.n_input = n_input
        self.n_hidden = n_hidden
        self.activation_func = activation_func
        self.optimizer_name = optimizer_name
        self.learning_rate = learning_rate
        self.logdir = logdir
        self.log_every_n = log_every_n
        self.session_kwargs = session_kwargs
        self.seed = seed
        self.tied_weights = tied_weights
        self.linear_decoder = linear_decoder

        self._init_all()