NeuralNet.py 文件源码

def __init__(self, n_inputs):
        """Constructs a net with a given number of inputs and no layers."""

        assert isposint(n_inputs), 'Number of inputs must be a positive integer.'

        self.n_inputs = n_inputs
        self.n_outputs = n_inputs
        self.n_units = [n_inputs]
        self.n_layers = 0
        self.n_params = 0

        self.Ws = []
        self.bs = []
        self.hs = [tt.matrix('x')]
        self.parms = self.Ws + self.bs
        self.input = self.hs[0]
        self.output = self.hs[-1]

        self.eval_f = None