tf reduce sum keep dim
By doing tf.reduce_sum(x, 1) the tensor is reduced along the second ... By doing tf.reduce_sum(x, [0, 1]) the tensor is reduced along BOTH dimensions (rows and columns), ... The sum along the 0 axis will produce a 1-D tensor of length 3 .... And the last, If the axis is not set, reduces all its dimensions. As an example,this is taken from the documentation, # 'x' is [[1, 1, 1] # [1, 1, 1]] tf.reduce_sum(x) ...,什么是sum; 什么是reduce; 什么是维度(indices, 现在均改为了axis和numpy等包一致) .... common math computations that reduce various dimensions of a tensor. .... import tensorflow as tf # x 的定义，和函数注释里一样的 # ^ # | [ # [1, 1, 1] # 0轴[1, ... ,tf.keras.backend.sum ... Sum of the values in a tensor, alongside the specified axis. ... the axis to sum over. keepdims : A boolean, whether to keep the dimensions or not. ... If keepdims is True , the reduced dimension is retained with length 1. ,If axis is None, all dimensions are reduced, and a tensor with a single element is returned. For example: x = tf.constant([[1., 1.], [2., 2.]]) tf.reduce_mean(x) # 1.5 ,Computes the sum of elements across dimensions of a tensor. (deprecated ... If keepdims is true, the reduced dimensions are retained with length 1. If axis is ... ,Computes the sum of elements across dimensions of a SparseTensor. ... If None (the default), reduces all dimensions. keepdims : If true, retain reduced ... ,Given a tensor input , this operation returns a tensor of the same type with all dimensions of size 1 removed. If you don't want to remove all size 1 dimensions, ... , ... rank 2 tensor, the last axis is the second axis, that is, along the rows; tf.reduce_sum with axis=-1 will thus reduce (sum) the second dimension ..., When I first used tf.reduce_sum, I thought, if it's a sum, just say sum! ... tensor shape/dimensions/indexing will save you a lot of debugging later.
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 tf reduce sum keep dim 相關參考資料
How does reduce_sum() work in tensorflow? - Stack Overflow
By doing tf.reduce_sum(x, 1) the tensor is reduced along the second ... By doing tf.reduce_sum(x, [0, 1]) the tensor is reduced along BOTH dimensions (rows and columns), ... The sum along the 0 axis ... https://stackoverflow.com reduce_sum by certain dimension - Stack Overflow
If the axis is not set, reduces all its dimensions. As an example,this is taken from the documentation, # 'x' is [[1, 1, 1] # [1, 1, 1]] tf.reduce_sum(x) ... https://stackoverflow.com Tensorflow 的reduce_sum()函数到底是什么意思，谁能解释下？ - 知乎
什么是sum; 什么是reduce; 什么是维度(indices, 现在均改为了axis和numpy等包一致) .... common math computations that reduce various dimensions of a tensor. .... import tensorflow as tf # x 的定义，和函数注释里一样的 # ^ # | [ # [1, 1, 1] #... https://www.zhihu.com tf.keras.backend.sum | TensorFlow Core 1.13 | TensorFlow
tf.keras.backend.sum ... Sum of the values in a tensor, alongside the specified axis. ... the axis to sum over. keepdims : A boolean, whether to keep the dimensions or not. ... If keepdims is True , t... https://www.tensorflow.org tf.math.reduce_mean | TensorFlow Core 1.13 | TensorFlow
If axis is None, all dimensions are reduced, and a tensor with a single element is returned. For example: x = tf.constant([[1., 1.], [2., 2.]]) tf.reduce_mean(x) # 1.5 https://www.tensorflow.org tf.math.reduce_sum | TensorFlow Core 1.13 | TensorFlow
Computes the sum of elements across dimensions of a tensor. (deprecated ... If keepdims is true, the reduced dimensions are retained with length 1. If axis is ... https://www.tensorflow.org tf.sparse.reduce_sum | TensorFlow Core 1.13 | TensorFlow
Computes the sum of elements across dimensions of a SparseTensor. ... If None (the default), reduces all dimensions. keepdims : If true, retain reduced ... https://www.tensorflow.org tf.squeeze | TensorFlow Core 1.13 | TensorFlow
Given a tensor input , this operation returns a tensor of the same type with all dimensions of size 1 removed. If you don't want to remove all size 1 dimensions, ... https://www.tensorflow.org What does tf.reduce_sum do with axis = -1? - Stack Overflow
... rank 2 tensor, the last axis is the second axis, that is, along the rows; tf.reduce_sum with axis=-1 will thus reduce (sum) the second dimension ... https://stackoverflow.com [Tensorflow 101] What does it mean to reduce axis? – Aerin Kim ...
When I first used tf.reduce_sum, I thought, if it's a sum, just say sum! ... tensor shape/dimensions/indexing will save you a lot of debugging later. https://medium.com |