DeepMind’s FIRE PBT: Automated Hyperparameter Tuning With Faster Model Training and Better Final Performance | Synced
A DeepMind research team proposes Faster Improvement Rate PBT (FIRE PBT) for Population Based Training (PBT), an automated hyperparameter tuning method for neural network training. The novel approa...
Source: Synced | AI Technology & Industry Review
A DeepMind research team proposes Faster Improvement Rate PBT (FIRE PBT) for Population Based Training (PBT), an automated hyperparameter tuning method for neural network training. The novel approach achieves faster improvement rates and better long-term performance.