What is a generator?
The subsystem within a generative adversarial network that creates new examples.
generator explained in plain English
The subsystem within a generative adversarial network that creates new examples. Contrast with discriminative model.
Example
Practitioners refer to generator when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.
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- discriminator
A system that determines whether examples are real or fake.
- generative adversarial network
A system to create new data in which a generator creates data and a discriminator determines whether that created data is valid or invalid.
- generative model
Practically speaking, a model that does either of the following: - Creates (generates) new examples from the training dataset.
- model
In general, any mathematical construct that processes input data and returns output.
- accelerator chip
A category of specialized hardware components designed to perform key computations needed for deep learning algorithms.
- activation function
A function that enables neural networks to learn nonlinear (complex) relationships between features and the label.
- AdaGrad
A sophisticated gradient descent algorithm that rescales the gradients of each parameter, effectively giving each parameter an independent learning rate.
- Attention
A mechanism that lets a model focus on the most relevant parts of its input when producing an output, weighting what matters most in context.
- attribute
Synonym for feature.
- auto-regressive model
A model that infers a prediction based on its own previous predictions.