How to pronounce“classifier”in English

classifier will be 10% using our image difference classifier we can actually do pretty good much better than random much better than 10%

classifier K nearest neighbors let's take our classifier to a whole new level

classifier and if you have a continuous action space um you you would have your neural network output the mean and uh the diagonal of a covariance matrix of a

classifier so I'm going to make for that float X is float 32 here and let's see

classifiers and the intuition basically boils down to the following when you when you have a lot when you have

classifiers with far fewer labeled examples learn traditional classifiers

classifiers and because it's only a one layer net you can think of what they're doing is a linear classification and so those colored hyperplanes here