utils.py 文件源码

def fc_net(inp, layers, out_layers, scope, lamba=1e-3, activation=tf.nn.relu, reuse=None,
           weights_initializer=initializers.xavier_initializer(uniform=False)):
    with slim.arg_scope([slim.fully_connected],
                        activation_fn=activation,
                        normalizer_fn=None,
                        weights_initializer=weights_initializer,
                        reuse=reuse,
                        weights_regularizer=slim.l2_regularizer(lamba)):

        if layers:
            h = slim.stack(inp, slim.fully_connected, layers, scope=scope)
            if not out_layers:
                return h
        else:
            h = inp
        outputs = []
        for i, (outdim, activation) in enumerate(out_layers):
            o1 = slim.fully_connected(h, outdim, activation_fn=activation, scope=scope + '_{}'.format(i + 1))
            outputs.append(o1)
        return outputs if len(outputs) > 1 else outputs[0]