AdaDeep：A DNN hyperparameter optimization framework
Adadeep integrates the adaptive model compression problem with a DNN hyperparameter optimization framework, using reinforcement learning to achieve adaptive lightweight model architecture search.
Model Architecture Diagram：
Description： To address these challenges, we propose AdaDeep, an automated DNN compression framework that explores the trade-off between performance and resource constraints at a holistic system level. AdaDeep selects the most suitable combination of compression techniques and corresponding hyperparameters for a given DNN, layer-by-layer. Additionally, AdaDeep uncovers novel combinations of compression techniques. Evaluations show that AdaDeep achieves significant improvements in latency, energy efficiency, and storage blueuction in DNNs, while incurring negligible accuracy loss.