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tags: |
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- gan |
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- computer vision |
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- horse to zebra |
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license: |
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- cc0-1.0 |
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## Keras Implementation of CycleGAN model using [Horse to Zebra dataset](https://www.tensorflow.org/datasets/catalog/cycle_gan#cycle_ganhorse2zebra) 🐴 -> 🦓 |
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This repo contains the model and the notebook [to this Keras example on CycleGAN](https://keras.io/examples/generative/cyclegan/). |
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Full credits to: [Aakash Kumar Nain](https://twitter.com/A_K_Nain) |
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## Background Information |
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CycleGAN is a model that aims to solve the image-to-image translation problem. The goal of the image-to-image translation problem is to learn the mapping between an input image and an output image using a training set of aligned image pairs. However, obtaining paired examples isn't always feasible. CycleGAN tries to learn this mapping without requiring paired input-output images, using cycle-consistent adversarial networks. |
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![CycleGAN](https://keras.io/img/examples/generative/cyclegan/cyclegan_25_1.png) |