name=None)
tf.truncated_normal(shape, mean=0.0, stddev=1.0, dtype=tf.float32, seed=None, name=None)
tf.random_uniform...linspace") # float32 or float64
v7_1 = tf.range(10, 20, 3) # just int32
# 生成各种随机数据矩阵
v8_1 = tf.Variable(tf.random_uniform...tf.truncated_normal([2, 3], mean=0.0, stddev=1.0, dtype=tf.float32, seed=1234, name="v8_3"))
v8_4 = tf.Variable(tf.random_uniform