layers.py 文件源码

def fflayer(self, tparams, state_below, options,
                prefix='rconv', activ='lambda x: tensor.tanh(x)', **kwargs):
        return eval(activ)(tensor.dot(state_below, tparams[_p(prefix, 'W')]) + tparams[
            _p(prefix, 'b')])

    # LSTM layer