https://github.com/thealekhya/image-generation-using-gan
This project is about implementing a GAN(Generative Adversarial Network) using Keras and Tensorflow. The model is trained with a first 9 forms(0-8) of the CIFAR10 dataset with almost 1200-1500 epochs.
https://github.com/thealekhya/image-generation-using-gan
back-propagation cifar10 deep-learning deep-neural-networks discriminator generative-adversarial-network generative-ai generator google-colab keras python tensorflow
Last synced: about 1 month ago
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This project is about implementing a GAN(Generative Adversarial Network) using Keras and Tensorflow. The model is trained with a first 9 forms(0-8) of the CIFAR10 dataset with almost 1200-1500 epochs.
- Host: GitHub
- URL: https://github.com/thealekhya/image-generation-using-gan
- Owner: thealekhya
- Created: 2025-06-11T08:30:20.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-06-11T08:48:27.000Z (4 months ago)
- Last Synced: 2025-06-26T03:04:34.873Z (4 months ago)
- Topics: back-propagation, cifar10, deep-learning, deep-neural-networks, discriminator, generative-adversarial-network, generative-ai, generator, google-colab, keras, python, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 3.88 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0