tf.random_normal(shape, mean=0.0, stddev=1.0, dtype=tf.float32, seed=None, name=None) 输出正态分布的随机值.
tf.random_normal(shape, mean=0.0, stddev=1.0, dtype=tf.float32, seed=None, name=None)
tf.truncated_normal(shape, mean=0.0, stddev=1.0, dtype=tf.float32, seed=None, name=None) 从截断的正态分布输出随机值.
tf.truncated_normal(shape, mean=0.0, stddev=1.0, dtype=tf.float32, seed=None, name=None)
我试着谷歌搜索'截断正态分布'.但是不太了解.
math machine-learning tensorflow
machine-learning ×1
math ×1
tensorflow ×1