Now at any given moment, there's about 150 ml of CSF in the body.

在任何特定时刻，体内有约150脑脊液。

So it has a specific package called ML Agents.

因此它有一个名为 ML Agents 特定包。

For every drink you down, you're likely to urinate 100 mL more than you consumed.

你每喝一口酒，排尿量就可能比摄入量多100。

And one of those is actually the integration between Vision and Core ML.

其中一个就是 Vision 和 Core ML 整合。

Okay, action figures. Nice. ML Legends Avenger iron spider Spidey Tom Holland six, loose action figure.

下一个，手办。不错！ML传奇复仇者联盟钢铁侠蜘蛛侠 汤姆·赫兰德，六寸。已开箱手办。

So if you have two tubs of product, both 500 ml, the ice cream is gonna weigh about 300 grams.

因此如果你有两个500产品桶，冰淇淋约重300克。

In Italy, a cappuccino will often be in a relatively small cup and contain only around 100 ml of milk.

在意利，一杯卡布奇诺通常装在一个相对较小杯子里，只含有约 100 牛奶。

For most people, drinking a small amount of milk, let's say 150 ml will not cause issues.

对于多数人来说，喝少量牛奶不会造成问题。

Now, let's look at Core ML more closely.

让我们再来深入了解一下 Core ML。

So I hope you've seen just how easy it is to incorporate Core ML, Vision, and Depth into your applications.

我家已经明白在你们应用程序上使用Core ML、影像和景深是多容易了。

Using the power of Core ML, you can now integrate trained machine learning models into your app.

借助 Core ML 力量，你现在可以把经过训练机器学习模型整合到你应用程序里。

So the average person will lose about 10 to 80 ML's of blood during a period.

所以一般人在一段时间内会流失约 10 到 80 血液。

The vast majority of AI out there is machine learning (ML).

绝多数人工智能都是机器学习 (ML)。

Enough oxygen diffuses into our blood to load every 100 ml of blood with about 20 ml of oxygen.

足够氧气扩散到我们血液中，每100 ml血液中就有约20 ml氧气。

As I just stated, oxygen-rich blood contains 20 ml of oxygen in every 100 ml of total blood volume.

正如我刚才所说，富含氧气血液中每100 ml总血液中含有20 ml氧气。

In a 12 oz (355 ml) can of Coke there are 39 grams of sugar.

355 ） 可乐中含有 39 克糖。

We can dissolve less than 1 ml of oxygen in 100 ml of our blood.

100 ml血液中溶解不到1ml氧气。

With hemoglobin, we can carry 20 ml of oxygen in that same 100 ml of blood.

在血红蛋白帮助下，我们可以在100ml相同血液中携带20ml氧气。

Well, the remaining 19.7 ml of oxygen is still in the blood, but it's bound to hemoglobin.

剩余19。7 ml氧气仍然存在于血液中，但与血红蛋白结合。

You then take that model and run it through the Converter tool, and that Converter tool will produce a Core ML compatible format.

然后你在转换器工具中运行那个模型，那个转换器工具产生一个可在 Core ML 兼容格式。