TensorFlow activatefunction

import tensorflow as tf


def add_layer(inputs, in_size, out_size, activation_function=None):
    Weight = tf.Variable(tf.random_normal([in_size, out_size]))  # 随机变量会比全部都是0好很多
    biases = tf.Variable(tf.zeros(1, out_size)) + 0.1
    Wx_plus_b = tf.matmul(inputs, Weight) + biases
    if activation_function is None:
        out_put = Wx_plus_b

    else:
        out_put = activation_function(Wx_plus_b)
    return out_put