discriminator

age should not be used as a primary discriminator in recruitment.

This circuit can be widely used in input amplitude discriminator and anticoincidence test.

The discriminator in the machine learning model helps distinguish between real and fake data.

The discriminator is a key component in adversarial networks.

The discriminator plays a crucial role in identifying patterns in data.

Training a discriminator requires a large dataset of labeled examples.

The discriminator's job is to determine the authenticity of input data.

A good discriminator can effectively separate different classes of data.

The discriminator helps improve the overall performance of the machine learning model.

The accuracy of the discriminator impacts the quality of the model's predictions.

The discriminator is trained to minimize the classification error.

In a GAN, the generator and discriminator work in tandem to improve the model's output.

I swear, the time of the harassers and the bullies and the discriminators is coming to an end.

The generator network tries to create more and more realistic images, and these are passed to the discriminator network which tries to learn the difference between real photographs and fake, forged images.

This is a machine-learning model with two networks: a discriminator, whose job it is to determine whether something is true or false, and a generator, whose job it is to generate synthetic media.