Generative adversarial network based synthetic data training model for lightweight convolutional neural networks
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Inadequate training data is a significant challenge for deep learning techniques, particularly in applications where data is difficult to get, and publicly available datasets are uncommon owing to ethical and privacy concerns. Various approaches, such as data ... ...
