Neural Network Optimization
Neural Network Optimization focuses on improving the performance and efficiency of neural network models. Techniques include hyperparameter tuning, model pruning, and architecture search. Optimization ensures models achieve high accuracy while minimizing computational resources. It is crucial for deploying AI systems in resource-constrained environments like mobile devices. Advances in this area contribute to the scalability and accessibility of deep learning technologies.
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