tensorflow可以用来初始化变量的函数及其参数

random Tensor

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)

tf.random_uniform(shape, minval=0, maxval=None, dtype=tf.float32, seed=None, name=None)

tf.random_shuffle(value, seed=None, name=None)

tf.random_crop(value, size, seed=None, name=None)

tf.multinomial(logits, num_samples, seed=None, name=None)

tf.random_gamma(shape, alpha, beta=None, dtype=tf.float32, seed=None, name=None)

tf.set_random_seed(seed)

constant value tensor

tf.zeros(shape, dtype=tf.float32, name=None)

tf.zeros_like(tensor, dtype=None, name=None)

tf.ones(shape, dtype=tf.float32, name=None)

tf.ones_like(tensor, dtype=None, name=None)

tf.fill(dims, value, name=None)

tf.constant(value, dtype=None, shape=None, name='Const')

initializer

tf.constant_initializer(value=0, dtype=tf.float32)

tf.random_normal_initializer(mean=0.0, stddev=1.0, seed=None, dtype=tf.float32)

tf.truncated_normal_initializer(mean=0.0, stddev=1.0, seed=None, dtype=tf.float32)

tf.random_uniform_initializer(minval=0, maxval=None, seed=None, dtype=tf.float32)

tf.uniform_unit_scaling_initializer(factor=1.0, seed=None, dtype=tf.float32)

tf.zeros_initializer(shape, dtype=tf.float32, partition_info=None)

tf.ones_initializer(dtype=tf.float32, partition_info=None)

tf.orthogonal_initializer(gain=1.0, dtype=tf.float32, seed=None)