在CNN代码里，可能有这样一句话： W1 = tf.Variable(tf.random_normal([3, 3, 1, 32], stddev=0.01))，对于函数tf.random_normal解释如下：
tf.random_normal
tf.random_normal(shape, mean=0.0, stddev=1.0, dtype=tf.float32, seed=None, name=None)
Outputs random values from a normal distribution.
Args:
shape: A 1-D integer Tensor or Python array. The shape of the output tensor.用一个list表示产出的Tensor的形状
mean: A 0-D Tensor or Python value of type dtype. The mean of the normal distribution.均值
stddev: A 0-D Tensor or Python value of type dtype. The standard deviation of the normal distribution.标准差
dtype: The type of the output.数据类型
seed: A Python integer. Used to create a random seed for the distribution. See set_random_seed for behavior.
name: A name for the operation (optional).
Returns:
A tensor of the specified shape filled with random normal values.
例子：
- <pre name="code" class="python">norm = tf.random_normal([2, 3], seed=1234)
- sess = tf.Session()
- print(sess.run(norm))
- print(sess.run(norm))</pre>
- <pre></pre>
输出：
[[ 0.51340485 -0.25581399 0.65199131]
[ 1.39236379 0.37256798 0.20336303]]
[[ 0.96462417 0.34291974 0.24251089]
[ 1.05785966 1.65749764 0.82108968]]
