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.
Abstraction and Evolution with Large Language Models
Explore how large language models enhance genetic programming through concept-guided evolution, with applications in symbolic regression and image classification demonstrated through practical examples.