Semi-supervised learning with GANs
summary
Covers using Generative Adversarial Networks (GANs) for semi-supervised classification where some classes have limited labeled data, showing how GAN-based methods can improve model generalization. Describes the end-to-end workflow from training GANs to deploying the resulting models on AWS Lambda and/or AWS SageMaker, and demonstrates the approach on open datasets.
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