使用之前首先导入：
import tensorflow as tf
几个常用的方法：
1.
https://www.tensorflow.org/versions/r1.3/api_docs/python/tf/transpose
tf.transpose
transpose(
a,
perm=None,
name='transpose'
)
Args:
a:A Tensor.
perm:A permutation of the dimensions of a.
name:A name for operation(optional).
Returns:
A transposed Tensor.
2.
https://www.tensorflow.org/versions/r1.2/api_docs/python/tf/reshape
tf.reshape
reshape(
tensor,
shape,
name=None
)
Args:
tensor:A Tensor.
shape:A Tensor. Must be one of the following types: int32, int64. Defines the shape of the output tensor.
name:A name for the operation(optional)
Returns:
A Tensor. Has the same type as tensor.
3.
https://www.tensorflow.org/api_docs/python/tf/reduce_sum
tf.reduce_sum
tf.reduce_sum(
input_tensor,
axis=None,
keepdims=None,
name=None,
reduction_indices=None,
keep_dims=None
)
Args:
input_tensor: The tensor to reduce. Should have numeric type.
axis: The dimensions to reduce. If None (the default), reduces all dimensions. Must be in the range [-rank(input_tensor), rank(input_tensor)).
keepdims: If true, retains reduced dimensions with length 1.
name: A name for the operation (optional).
reduction_indices: The old (deprecated) name for axis.
keep_dims: Deprecated alias for keepdims.
Returns:
The reduced tensor.
4.
https://www.tensorflow.org/api_docs/python/tf/square
tf.square
tf.square(
x,
name=None
)
Args:
x: A Tensor or SparseTensor. Must be one of the following types: half, float32, float64, int32, int64, complex64, complex128.
name: A name for the operation (optional).
Returns:
A Tensor or SparseTensor. Has the same type as x.
5.
https://www.tensorflow.org/api_docs/python/tf/subtract
tf.subtract
tf.subtract(
x,
y,
name=None
)
Args:
x: A Tensor. Must be one of the following types: half, bfloat16, float32, float64, uint8, int8, uint16, int16, int32, int64, complex64, complex128.
y: A Tensor. Must have the same type as x.
name: A name for the operation (optional).
Returns:
A Tensor. Has the same type as x.
Returns x - y element-wise.
