netools.py 文件源码

def sigmoid(gain=1, spread=1, mode='hard'):  # Possible modes: 'fast', 'full', 'hard'.
    if mode == 'fast':
        return lambda x: gain * nnet.ultra_fast_sigmoid(spread * x)
    elif mode == 'full':
        return lambda x: gain * nnet.sigmoid(spread * x)
    elif mode == 'hard':
        return lambda x: gain * nnet.hard_sigmoid(spread * x)
    else:
        return lambda x: gain * nnet.ultra_fast_sigmoid(spread * x)


# Linear (duh)