AWS re:Invent 2016: Using MXNet for Recommendation Modeling at Scale (MAC306) Amazon Web Services 52:13 8 years ago 7 073 Далее Скачать
AWS re:Invent 2016: Deep Learning at Cloud Scale: Improving Video Discoverability on AWS (MAC205) Amazon Web Services 49:21 8 years ago 304 Далее Скачать
Using AWS to Build a Graph-Based Product Recommendation System (BDT303) | AWS re:Invent 2013 Amazon Web Services 30:31 11 years ago 4 896 Далее Скачать
AWS re:Invent 2016: ElastiCache Deep Dive: Best Practices and Usage Patterns (DAT306) Amazon Web Services 55:39 8 years ago 13 603 Далее Скачать
AWS re:Invent 2019: Running lean architectures: How to be cost-effective on AWS (ARC209-R1) AWS Events 53:51 5 years ago 3 629 Далее Скачать
AWS re:Invent 2017: How Netflix Encodes at Scale (CMP309) Amazon Web Services 47:11 7 years ago 8 148 Далее Скачать
AWS re:Invent 2017: How Amazon Scales Its Infrastructure to Handle Billions of Trans (ENT337) Amazon Web Services 44:15 7 years ago 1 971 Далее Скачать
Visual intelligence for the enterprise - Amazon Nova understanding models | AWS OnAir re:Invent 2024 AWS Events 18:13 1 day ago 242 Далее Скачать
AWS re:Invent 2016: Bringing Deep Learning to the Cloud with Amazon EC2 (CMP314) Amazon Web Services 45:38 8 years ago 2 114 Далее Скачать
AWS re:Invent 2017: Building a Predictive API using a Pre-Trained MXNet Model and AW (DEM76) Amazon Web Services 11:55 7 years ago 323 Далее Скачать
AWS re:Invent 2018: SaaS Reference: Review of Real-World Patterns & Strategies (GPSTEC302) Amazon Web Services 58:59 6 years ago 7 542 Далее Скачать
AWS re:Invent 2017: Deep Learning with Apache MXNet and Gluon (MCL303) Amazon Web Services 59:21 7 years ago 3 707 Далее Скачать
AWS re:Invent 2019: Delight your customers with ML-based personalized recommendations (AIM323) AWS Events 51:52 5 years ago 4 192 Далее Скачать
