MATRIX MULTIPLICATION in Chinese translation

• 矩阵乘法

Examples of using Matrix multiplication in English and their translations into Chinese

PS: If you don't like NumPy's method, stay tuned for the upcoming Python 3.5- we will get an infix operator for matrix multiplication, yay!
PS:如果你不喜欢NumPy的dot方法，那么敬请期待即将到来的Python3.5-对于矩阵乘法，我们将获得一个中缀运算符，耶！!

On V100, tensor FLOPs are reported, which run on the Tensor Cores in mixed precision: a matrix multiplication in FP16 and accumulation in FP32 precision.
而在V100上，我们测试的是张量FLOPs，它以混合精度的方式在TensorCores上运行：以FP16的精度执行矩阵乘法，而以FP32的精度进行累加。

PS: If you don't like NumPy's method, stay tuned for the upcoming Python 3.5- we will get an infix operator for matrix multiplication, yay!
PS：如果你不喜欢NumPy的点方法，敬请期待即将到来的Python3.5，我们将为矩阵乘法提供一个中缀运算符，耶！!

Because to maximize performance for core high-frequency operations(e.g. matrix multiplication), developers try to get as“close to the metal” as possible.
为什么？因为为了获得核心的最大性能，像矩阵乘法这样的高频操作，开发人员尽可能“接近底层冶金工艺”。

Both of these operations are essentially matrix multiplications.
这两种运算本质上都是矩阵乘法。

Both operations are essentially matrix multiplications.
这两种运算本质上都是矩阵乘法。

The answer is that we can use matrix multiplications to do this more simply.
答案当然是肯定的，我们可以使用矩阵乘法来更简单的实现这一点。

Hereby, placeholders(data) and variables(weights and biases) need to be combined into a system of sequential matrix multiplications.
因此占位符（数据）和变量（权重和偏置项）需要组合成一个连续的矩阵乘法系统。

We saw that the computationally intensive part of neural network is made up of multiple matrix multiplications.
我们注意到，神经网络的计算集中部分由多个矩阵乘法组成。

Because of this, this processor can complete 256× 256 times per clock, that is, 64,000 8-bit matrix multiplications, so it can easily take down reasoning tasks.
也正因为如此，这个处理器每个clock可以完成256×256次，也就是64000次8位矩阵乘法，因此它可以轻松拿下推理任务。

Matrix multiplication algorithm.
User:Cutekibry/矩阵乘法算法.

Note that this is matrix multiplication.
注意：是矩阵的乘法。

Let's look at matrix multiplication.
我们看一下矩阵乘法。

Matrix multiplication is NOT commutative: AB≠BA.
矩阵乘法不满足交换律，即：AB≠BA.

Performing standard operations with matrices such as transposition and matrix multiplication.
展示矩阵之间的标准操作，如转置和矩阵相乘.

In fact, convolution operations can also be achieved by matrix multiplication.
事实上，卷积运算还可以通过矩阵乘法来实现。

Matrix multiplication is not commutative, which means their order is important.
矩阵乘法是不遵守交换律的，这意味着它们的顺序很重要。

Matrix multiplication is not commutative, which means their order is important.
矩阵乘法是不可交换的，这意味着它们的顺序很重要。

Matrix multiplication is the fusion of multiple nodes into a single node.
矩阵乘法是将多个节点融合为一个节点。

Observe that inner products are really just special case of matrix multiplication.
可以发现，内积实际上是矩阵乘法的一个特例。