layers.py 文件源码

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

# GRU layer