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Image Generation

To generate images using a GAN with an encoder-decoder, first design an encoder to compress images into latent vectors and a decoder to reconstruct images from these vectors. Use the decoder as the generator and create a discriminator to distinguish real from fake images. Train the discriminator to recognize real images and the generator to produce realistic images that fool the discriminator

Screenshot 2024-05-09 084129

Acknowledgements

API Reference

Get all items

  GET /api/items
Parameter Type Description
api_key string Required. Your API key

Get item

  GET /api/items/${id}
Parameter Type Description
id string Required. Id of item to fetch

add(num1, num2)

Takes two numbers and returns the sum.

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Installation

Install my-project with npm

  npm install my-project
  cd my-project

License

MIT License GPLv3 License AGPL License

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