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Search results for “image generation AI

Models

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Glossary

14

Generative AI

AI systems that can create new content, such as text, images, or music.

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image-segmentation

The process of partitioning an image into multiple segments to simplify analysis.

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generative-adversarial-networks

A class of machine learning frameworks that generate new data samples via adversarial training.

generative-models

Models that can generate new data instances similar to the training data.

Generative Modeling

A type of modeling that generates new data instances that resemble the training data.

natural-language-generation

The use of algorithms to produce human-like text based on given data or prompts.

Generative Model

A model that generates new data points from learned distributions.

Generative Adversarial Network (GAN)

A type of neural network architecture that consists of two competing networks, a generator and a discriminator.

synthetic-data-generation

The process of creating artificial data that mimics real-world data for training machine learning models.

data-augmentation

The process of increasing the size and diversity of a training dataset by applying transformations.

natural-language-generation-nlg

The automatic process of generating coherent and contextually relevant natural language text from structured data.

Generative Adversarial Network

A class of machine learning frameworks where two neural networks contest with each other to create new data instances.

augment-data

A technique to artificially increase the size of a training dataset by creating modified copies of existing data.

variational-autoencoder

A generative model that learns to represent data in a latent space using variational inference.

Tools

3

Tutorials

1