Mastering Neural Networks and Model Regularization
In this comprehensive course, participants will gain a deep understanding of neural network architectures and essential model regularization techniques.
In this comprehensive course, participants will gain a deep understanding of neural network architectures and essential model regularization techniques.
This course delves into advanced machine learning techniques and applications, providing a comprehensive exploration of ensemble learning, regression analysis, unsupervised learning, and reinforcement learning.
This course provides an in-depth, hands-on approach to applied machine learning, focusing on practical techniques across diverse domains.
The AI for Everyone course from Johns Hopkins Engineering Lifelong Learning is an interactive workshop for JHU faculty, staff, and external professionals seeking to understand AI’s transformative potential.
Stay Connected
OneHop
Facebook
Twitter
Instagram
YouTube
LinkedIn