Implementation of Generative Adversarial Networks with Keras: Part-5 (Bangla) | GAN

Опубликовано: 10 Ноябрь 2024
на канале: Machine Learning Talks & Tips
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GANs are a hot topic of research today in the field of deep learning. Popularity has soared with this architecture style, with its ability to produce generative models that are typically hard to learn. There are a number of advantages to using this architecture: it generalizes with limited data, conceives new scenes from small datasets, and makes simulated data look more realistic.
For implementing GAN we used Keras Framework


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