Deep active learning – a new approach to model training
Deep active learning blends conventional neural network training with strategic data sample selection. This innovative approach results in enhanced model performance, efficiency, and accuracy across a wide array of applications.
Deep active learning blends conventional neural network training with strategic data sample selection. This innovative approach results in enhanced model performance, efficiency, and accuracy across a wide array of applications.
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