Put Deep Learning to Work - Accelerate Deep Learning through AWS SageMaker and ML Services
Toronto Machine Learning Series (TMLS) via YouTube
Master AI and Machine Learning: From Neural Networks to Applications
PowerBI Data Analyst - Create visualizations and dashboards from scratch
Overview
Google, IBM & Meta Certificates – 40% Off
One plan covers every Professional Certificate on Coursera.
Unlock All Certificates
Explore distributed multiGPU BERT fine-tuning and GPU hosting using Amazon SageMaker in this comprehensive 2-hour 35-minute workshop from the Toronto Machine Learning Series (TMLS). Led by Wenming Ye, Sr. Product Manager Machine Learning, and Rachel Hu, Applied Scientist from Amazon Web Services, learn how to accelerate deep learning workflows through AWS SageMaker and ML services. Gain hands-on experience with practical examples and access workshop materials on GitHub to continue your learning journey. Discover powerful techniques for optimizing deep learning models and leveraging cloud-based GPU resources to enhance your machine learning projects.
Syllabus
Put Deep Learning to Work: Accelerate Deep Learning through AWS SageMaker and ML Services
Taught by
Toronto Machine Learning Series (TMLS)