Examples of using Floating point numbers in English and their translations into Chinese
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Most deep learning models today are trained using 32 bit single precision floating point numbers(FP32).
目前，商用的深度学习应用大多使用32位单精度浮点数(fp32)进行训练和推断。The number type is used for any numeric type, either integers or floating point numbers.
Number用于任何类型的数字：整数或浮点数。Floating point numbers are not exact, and may yield strange results when compared.
浮点数字在有些情况下是不准确的，在数据大小比较时，可能会产生奇怪的结果。Note: For our simple classifier, W is a 20×1 matrix, which is just a list of 20 floating point numbers.
备注：对于我们的示例分类器，W是一个20x1的矩阵，即一份简单的20项浮点数值列表。In this blog post, we looked at how JavaScript fits its floating point numbers into 64 bits.
本篇文章中，我们观察了JavaScript是怎样把浮点数存进64位中的。Even if we use a simple, coarse description- say, 10 floating point numbers to characterize each connection- that would require about 70 quadrillion bits.
即使我们使用一个简单粗暴的方式来描述它们－比如10个浮点数来描述一个连接，这样我们也需要约7亿亿比特的信息。Even if we use a simple, coarse description- say, 10 floating point numbers to characterize each connection- that would require about 70 quadrillion bits.
即使我们使用一个简单粗糙的描述--比方说，10个浮点数来描述每个连接--那将需要大约70千万亿位。You can store numbers in variables, either whole numbers like 30(also called integers) or decimal numbers like 2.456(also called floats or floating point numbers).
你可以在变量中存储数字，不论这些数字是像30（也叫整数）这样，或者像2.456这样的小数（也叫做浮点数）。Otherwise, it is a floating point number.
否则结果为浮点数.The word double stands for"double precision floating point number".
Double是指所谓的“双精度浮点数”。This value can be a floating point number.
该值可以是浮点数。The output of the training process is a 32-bit floating point number.
训练过程的输出是一个32位浮点数。The results from this calculation will be a floating point number.
这样得到的结果会是浮点数。In integer division, the division/ always returns a floating point number.
除法“/”表示TrueDivision，总是返回浮点数。This always returns a floating point number.
结果总是一个浮点数。The argument may be a floating point number to indicate a more precise sleep time.
参数可以是浮点数，以指示更精确的睡眠时间。Return a random floating point number N such that low<= N<= high and with the specified mode between those bounds.
返回一个随机浮点数N，使得low<=N<=high并在这些边界之间使用指定的mode。Uniform(a, b): it chooses a floating point number that is defined in the range of a, b.
Uniform(a，b)：它选择一个在a，b范围内定义的浮点数.Such a floating point number must be finite, and if it is+0 or -0 If so, then the corresponding mathematical value is simply 0.
比如，浮点数必须是有限的，若为+0或-0则简单地取与之相符的数学值0。But the result of a mixture of integer and floating point numbers becomes a floating point number.
整数和浮点数混合运算的结果就变成浮点数了：.
