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Central to the School of Engineering’s mission is a commitment to increasing diversity by supporting individuals historically excluded in the field. We welcome a diverse group of faculty, students, and staff in an environment that is nurturing, welcoming and inclusive of individuals from a variety of backgrounds, perspectives and beliefs.
Browse this website to learn about university-wide requirements and processes for admission to MA, MS, PhD, and other non-professional graduate programs in the following Stanford schools: Graduate School of Education | School of Engineering | School of Humanities & Sciences | School of Medicine | Doerr School of Sustainability.
This course is a deep dive into the details of deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification. During the 10-week course, students will learn to implement and train their own neural networks and gain a detailed understanding of cutting-edge research in computer vision.
Stanford Libraries is home to a strong collection of maps of Africa, including maps donated by Oscar I. Norwich and Caroline Batchelor as well as maps from the Barry Lawrence Ruderman Collection, the University of Cape Town Collections, and the David Rumsey Map Collection. View the exhibit.
A free, open-source ontology editor and framework for building intelligent systems. Protégé is supported by a strong community of academic, government, and corporate users, who use Protégé to build knowledge-based solutions in areas as diverse as biomedicine, e-commerce, and organizational modeling. Download Now. Use webProtégé.
Stanford Law School
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations. - stanford-oval/storm
