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GitHub / Amir-Hofo / CGAN_MNIST_Pytorch

This code implements an example of a CGAN deep learning model using PyTorch. The architecture used for the generator and discriminator is MLP (multi layer perceptron) network. This model is trained with MNIST dataset and finally it can generate images of numbers 0 to 9 according to the label we specify for it.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Amir-Hofo%2FCGAN_MNIST_Pytorch

Stars: 1
Forks: 0
Open Issues: 0

License: None
Language: Jupyter Notebook
Repo Size: 22.2 MB
Dependencies: 0

Created: 3 months ago
Updated: 3 months ago
Last pushed: 3 months ago
Last synced: 3 months ago

Topics: cgan, conditional-gan, deep-learning, deeplearning, discriminator, gan, generative-adversarial-network, generator, image-generator, mlp, mnist, python, pytorch

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