But he actually got a state-of-the-art sentiment analysis classifier out of it.

但他其实由此做出了先进的情感分析分类器。

And I realized it's not just made of models and classifiers for the neural network.

意识到它不仅是神经网络的模型和分屏器。

And in this module we have a class called decision tree classifier.

在这模块中，有名为决策树分类器的类。

He said, " There's really not much we could say at this point about how the classifier actually works."

“关于该分类器的实际工作原理，真的不能说太多。”

Through our editorial team, through our semantic classifiers, through what the community tells us they do or they don't want.

通过的编辑团队、的语分类器，以及通过网络社区告诉他想要什么或不想要什么。

Indulge your astonishment, my friend, and have a look, because there's plenty of work here for a classifier of your talents.

朋友，你惊奇吧，你好好地吧，因为对于你这么能干的分类者，这里实在有不少的工作可做哩。

Now, the classifier says, " Is this cancer or is this not cancer? "

现在，分类器说，“这是癌症还是不是癌症？”

We see that the classifier comes back with a pretty similar prediction.

到分类器返回了非常相似的预测。

You train the classifier on ImageNet, let's say.

你在ImageNet上训练分类器，比如说。

OpenAI has classifiers that recognize when there's a prompt that's indicating self-harm.

OpenAI设有分类器，能够识别出暗示自残的提示。

This decision process is called classification, and an algorithm that does it is called a classifier.

这决策过程称为分类，执行这过程的算法称为分类器。

So, at the end, let's create an object called models nd set it to anew instance of decision, tree classifier. Like this.

所以，后，让创建名为模型的对象， 并将其设置为新的决策实例，即树分类器。 像这样。

Based on the classifier's guesses the drawing system then tweaks the image and feeds it through again.

根据分类器的猜测，绘图系统然后调整图像并再次输入。

In order to train our machine learning classifier to make good predictions, we’re going to need training data.

为了训练的机器学习分类器以做出良好的预测，需要训练数据。

Plus, a truly useful classifier would contend with many different moth species.

此外，真正有用的分类器需要应对许多不同的蛾类物种。

But you could probably reformulate with all the same data and make a classifier lying or not.

但你可以用同样的数据重新构建分类器，来判断是否在撒谎。

And then now you immediately get a classifier out of this, right?

于是现在，你便能立即从这之中得到分类器，对吧？

Existing classifiers, trained for things like facial recognition or self-driving cars, are used to spotting objects that loom large in their field of vision.

现有的分类器受过面部识别或自动驾驶汽车等方面的训练，可用于发现在他的视野中逼近的物体。

In addition, the RGB-DSIFT-LLC features were input into a linear support vector machine (SVM) classifier for identifying the maturity of fruits.

此外，RGB-DSIFT-LLC特征被输入到线性支持向量机（SVM）分类器中，用于识别水果的成熟度。

One of the things that Mike Schneider's working on right now is an image classifier at a relatively small scale.

迈克·施耐德目前正在研究的是种规模相对较小的图像分类器。