
## Keras Implementation of CycleGAN model using [Horse to Zebra dataset](https://www.tensorflow.org/datasets/catalog/cycle_gan#cycle_ganhorse2zebra) 🐴 -> 🦓

This repo contains the model and the notebook [to this Keras example on CycleGAN](https://keras.io/examples/generative/cyclegan/).

Full credits to: [Aakash Kumar Nain](https://twitter.com/A_K_Nain)

## Background Information 
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.
![CycleGAN](https://keras.io/img/examples/generative/cyclegan/cyclegan_25_1.png)
{"license": ["cc0-1.0"], "tags": ["gan", "computer vision", "horse to zebra"]}
keras gan computer vision horse to zebra license:cc0-1.0 has_space region:us
TAGS
#keras #gan #computer vision #horse to zebra #license-cc0-1.0 #has_space #region-us 


## Keras Implementation of CycleGAN model using Horse to Zebra dataset  -> 

This repo contains the model and the notebook to this Keras example on CycleGAN.

Full credits to: Aakash Kumar Nain

## Background Information 
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.
!CycleGAN
## Keras Implementation of CycleGAN model using Horse to Zebra dataset  -> 

This repo contains the model and the notebook to this Keras example on CycleGAN.

Full credits to: Aakash Kumar Nain ## Background Information 
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.
!CycleGAN
TAGS
#keras #gan #computer vision #horse to zebra #license-cc0-1.0 #has_space #region-us 
 ## Keras Implementation of CycleGAN model using Horse to Zebra dataset  -> 

This repo contains the model and the notebook to this Keras example on CycleGAN.

Full credits to: Aakash Kumar Nain ## Background Information 
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.
!CycleGAN
passage: TAGS
#keras #gan #computer vision #horse to zebra #license-cc0-1.0 #has_space #region-us 
## Keras Implementation of CycleGAN model using Horse to Zebra dataset  -> 

This repo contains the model and the notebook to this Keras example on CycleGAN.

Full credits to: Aakash Kumar Nain## Background Information 
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.
!CycleGAN