In the context of GANs, the generator tries to produce fake data, while the discriminator tries to ________ between real and fake data.
- Differentiate
- Discriminate
- Generate
- Classify
The discriminator in a GAN is responsible for distinguishing or discriminating between real and fake data, not generating or differentiating.
Loading...
Related Quiz
- The ability of SVMs to handle non-linear decision boundaries is achieved by transforming the input data into a higher-dimensional space using a ______.
- In hierarchical clustering, the ________ method involves merging the closest clusters in each iteration.
- When a machine learning algorithm tries to group data into clusters without prior labels, it is using which type of learning?
- In time series forecasting, the goal is to predict future ________ based on past observations.
- When a model is trained on one task and the learned features are used as a starting point for a model on a second task, it's known as ________.