abhi227070/Image-Generation-Using-GAN-Gen-AI-Project-
Gen AI uses GANs to generate CIFAR-10-like images. The custom GAN model comprises a Generator and a Discriminator. Users can train the model and generate images using Jupyter Notebooks or Google Colab.
The implementation leverages TensorFlow and Keras for adversarial training, with GPU acceleration support optimized for Google Colab execution. Beyond standard image generation, it enables practical applications including dataset augmentation with synthetic samples and latent space exploration for controlled image variation. The notebook-based interface allows direct experimentation without requiring external UI infrastructure.
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Mar 30, 2024
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