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dcgan-tensorflow

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We aim to generate realistic images from text descriptions using GAN architecture. The network that we have designed is used for image generation for two datasets: MSCOCO and CUBS.

  • Updated May 7, 2018
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In this project, I aim to develop a robust system to classify real and synthetic retina images using advanced machine learning. I will generate synthetic retina images from a single eye photo using Deep Convolutional Generative Adversarial Networks (DCGAN) and classify them with a Convolutional Neural Network (CNN).

  • Updated Jul 8, 2024
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