Glosarium AI
Kamus lengkap Kecerdasan Buatan
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Meta-Gradient Descent
Optimization technique that calculates gradients with respect to meta-parameters to improve learning performance across tasks.
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Meta-Features
Features extracted from learning task properties used to improve the model's transfer and adaptation process.
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Learning to Learn
Fundamental concept of meta-learning where the algorithm acquires learning skills that can be transferred to new problems.
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Meta-Optimization
Process of optimizing hyperparameters and model architecture to improve meta-learning performance on new tasks.
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Rapid Adaptation
Primary objective of meta-learning aiming to enable models to adapt to new tasks with minimal data and training time.
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Episode-Based Training
Training strategy in meta-learning where each episode simulates a few-shot task with support and query sets.
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