Neural Architecture Search Part I - Lecture 7
Explore neural architecture search techniques for optimizing deep learning models, covering fundamental concepts and cutting-edge approaches in AI efficiency.
Neural Architecture Search Part I - Lecture 7
Explore neural architecture search techniques for optimizing deep learning models, focusing on automated design and efficiency in AI systems.
Neural Architecture Search Part II - Lecture 8
Explore advanced neural architecture search techniques, including evolutionary algorithms and reinforcement learning, to optimize deep learning models for efficiency and performance.
Neural Architecture Search Part II - Lecture 8
Explore advanced neural architecture search techniques, including evolutionary algorithms and reinforcement learning for optimizing deep learning models.
Efficient Language Models - Tutorial
Explore efficient language model techniques with JHU researcher Tianjian Li, covering optimization strategies and cutting-edge approaches for improved NLP performance.
Democratizing Deep Learning with DeepHyper
Explore DeepHyper: Automate DNN design for scientific data using scalable neural architecture and hyperparameter search. Learn to generate DNN ensembles for uncertainty estimation in various applications.
AutoML for Natural Language Processing - EACL 2013 Tutorial
Explore AutoML techniques for NLP, covering hyperparameter optimization and neural architecture search to improve model-building rigor and efficiency.