Stanford University courses
60 Courses
Stanford University
Stanford Seminar - Persistent and Unforgeable Watermarks for Deep Neural Networks
Stanford Seminar - Persistent and Unforgeable Watermarks for Deep Neural Networks
Explore a Stanford seminar on persistent and unforgeable watermarks for deep neural networks. Delve into the increasing popularity of DNNs, their training challenges, and the importance of IP protection for model owners.
Learn about various watermarking techniques,.
Stanford University
Stanford CS330: Deep Multi-Task and Meta Learning
Stanford CS330: Deep Multi-Task and Meta Learning
Stanford CS330: Deep Multi-Task and Meta Learning
Embark on an 18-hour educational journey with Stanford University’s comprehensive course that delves into the forefront of multi-task and meta-learning within the sphere of artificial intelligence. This course begins with an introduction and b.
Stanford University
Scaling Up Without Screwing Up - Robert Sutton
Scaling Up Without Screwing Up - Robert Sutton
As a leader in your organization, it is important to uncover the pockets of exemplary performance within your team and help spread them effectively. Join Stanford Professor and co-author of the book Scaling Up Excellence: Getting to More Without Settling for Less, Robert Sutton, as he discusses these m.
Stanford University
Stanford Seminar - Distributed Perception and Learning Between Robots and the Cloud
University: Stanford University
Provider: YouTube
Categories: Machine Learning Courses, Reinforcement Learning Courses, Federated Learning Courses
This course aims to teach learners about distributed perception and learning between robots and the cloud. The learning outcomes include understanding the key challenges of cloud robotics, distribu.
YouTube
Free Online Course
47 minutes
On-Demand
Stanford University
Stanford Seminar - Accessibility and the AI Autumn - Jeff Bigham
Stanford Seminar - Accessibility and the AI Autumn - Jeff Bigham
This course aims to educate learners on the importance of accessibility in the context of artificial intelligence. The learning outcomes include understanding human-computer interaction, challenging ability assumptions, designing for users with disabil.
YouTube
Free Online Course
1 hour
On-Demand
Stanford University
Bayesian Networks 1 - Inference - Stanford CS221: AI
Bayesian Networks 1 - Inference - Stanford CS221: AI
The course teaches students how to specify joint distributions compactly using Bayesian networks and factor graphs. It covers probabilistic inference, explaining away, consistency of sub-Bayesian networks, and applications such as medical diagnosis, language modeling, object tracking, multiple.
Stanford University
Stanford Seminar - Can the Brain Do Back-Propagation?
Stanford Seminar - Can the Brain Do Back-Propagation?
This course explores the concept of whether the brain can perform back-propagation. The learning outcomes include understanding online stochastic gradient descent, reasons why the brain may not be able to do backprop, and new methods for unsupervised learning.
Students will learn about the.
Stanford University
Stanford Seminar - Neuromorphic Chips - Addressing the Nanostransistor Challenge
Stanford Seminar - Neuromorphic Chips - Addressing the Nanostransistor Challenge
This course aims to teach learners about neuromorphic chips and how they address the nanotransistor challenge. The learning outcomes include understanding the concept of neuromorphic computing, implementing dendritic computation with subthreshold analog, and compari.
Stanford University
Stanford Seminar - Deep Learning for Medical Diagnoses
Stanford Seminar - Deep Learning for Medical Diagnoses
This course aims to teach learners about the application of deep learning in medical diagnoses. The learning outcomes include understanding traditional clinical diagnostic procedures, utilizing machine learning frameworks, detecting abnormalities in medical images such as X-rays, interpret.
YouTube
Free Online Course
57 minutes
On-Demand
Stanford University
Stanford Seminar - Audio Research: Transformers for Applications in Audio, Speech and Music
Stanford Seminar - Audio Research: Transformers for Applications in Audio, Speech and Music
Course Title: Stanford Seminar - Audio Research: Transformers for Applications in Audio, Speech and Music
Description: This course aims to teach learners about the applications of Transformers in audio, speech, and music. The learning outcomes include und.
