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Generative Adversarial Network
Generative adversarial networks (GAN) are a class of generative machine learning frameworks. A GAN consists of two competing neural networks, often termed the Discriminator network and the Generator network. GANs have been shown to be powerful generative models and are able to successfully generate new data given a large enough training dataset.
- GitHub: https://github.com/topics/generative-adversarial-network
- Wikipedia: https://en.wikipedia.org/wiki/Generative_adversarial_network
- Released: June 10, 2014
- Related Topics: deep-learning, neural-network,
- Aliases: gan, generative-adversarial-networks,
- Last updated: 2025-02-13 00:12:09 UTC
- JSON Representation
https://github.com/srking501/csc8637_coursework
A summative coursework for CSC8637 Deep Learning
ai cyclegan data-preprocessing data-science evaluation-metrics fine-grained-classification gan gans generative-adversarial-network image-classification lstm lstm-classification rnn rnn-lstm rnn-tensorflow time-series timeseries timeseries-forecasting
Last synced: 28 Jan 2025
https://github.com/pedrinzx32/image-to-video-api
API guide for integrating advanced image to video feature to your product or workflow.
api api-aruppi aruppi aruppi-api face-detection flutter generative-adversarial-network pytorch radio super-resolution text2image video-frame-interpolation video-generation video-super-resolution
Last synced: 22 Jan 2025
https://github.com/hrolive/introduction-to-scalable-deep-learning
In this course, we will cover machine learning and deep learning and how to achieve scaling to high performance computing systems.
deep-learning generative-adversarial-network hpc machine-learning python
Last synced: 04 Jan 2025