tensorflow常用函数记录

1.tf.range()：产生一等差数列

示例代码如下：

# 'start' is 3

# 'limit' is 18 

# 'delta' is 3 

tf.range(start, limit, delta) ==> [3, 6, 9, 12, 15] 

# 'limit' is 5 

tf.range(limit) ==> [0, 1, 2, 3, 4]

2.    tf.reshape()

示例代码如下：

# tensor 't' is [1, 2, 3, 4, 5, 6, 7, 8, 9]

# tensor 't' has shape [9]

reshape(t, [3, 3]) ==> [[1, 2, 3]

                        [4, 5, 6]

                        [7, 8, 9]]

# tensor 't' is [[[1, 1], [2, 2]]

#                [[3, 3], [4, 4]]]

# tensor 't' has shape [2, 2, 2]

reshape(t, [2, 4]) ==> [[1, 1, 2, 2]

                        [3, 3, 4, 4]]

# tensor 't' is [[[1, 1, 1],

#                 [2, 2, 2]],

#                [[3, 3, 3],

#                 [4, 4, 4]],

#                [[5, 5, 5],

#                 [6, 6, 6]]]

# tensor 't' has shape [3, 2, 3]

# pass '[-1]' to flatten 't'

reshape(t, [-1]) ==> [1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6]

# -1 can also be used with higher dimensional shapes

reshape(t, [2, -1]) ==> [[1, 1, 1, 2, 2, 2, 3, 3, 3],

                         [4, 4, 4, 5, 5, 5, 6, 6, 6]]

# tensor 't' is [7]

# shape `[]` reshapes to a scalar

reshape(t, []) ==> 7

3.     tf.concat()

示例代码如下：

t1 = [[1, 2, 3], [4, 5, 6]]

t2 = [[7, 8, 9], [10, 11, 12]]

tf.concat(0, [t1, t2]) ==> [[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]]

tf.concat(1, [t1, t2]) ==> [[1, 2, 3, 7, 8, 9], [4, 5, 6, 10, 11, 12]]

# tensor t3 with shape [2, 3]

# tensor t4 with shape [2, 3]

tf.shape(tf.concat(0, [t3, t4])) ==> [4, 3]

tf.shape(tf.concat(1, [t3, t4])) ==> [2, 6]

4.