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Refining the layer configurations and connectivity of a model to improve accuracy.
Distinct from Deep Learning Optimization: Focuses on architecture and layer optimization rather than computational graph or hardware efficiency
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AutoKeras is an automated machine learning framework and Keras AutoML library designed to discover the most effective deep learning model structures for a given dataset. It functions as a tool for deep learning architecture search, eliminating manual hyperparameter tuning by automatically searching for and optimizing neural network architectures. The framework provides capabilities for benchmarking and refining neural network designs to maximize performance. It includes a system for containerized machine learning deployment, allowing environments to be packaged into containers to ensure consi
Refines neural network structures to maximize performance and accuracy for specific data.