From Vietnam to Neural Networks

This chapter chronicles the speaker's journey through machine learning, tracing their educational roots in Vietnam and Australia to their influential work at Stanford. Key experiences include their contributions to early deep learning projects and participation in the Google Brain project, highlighting the evolution of their interests in AutoML and neural architecture search. The chapter explores the complexities of hyperparameter optimization and the shift towards automation in designing neural networks to improve model performance and efficiency.