How to Improve Computer Vision with Advanced Active Learning
Available on Demand
When developing computer vision applications, the greatest challenge you are likely to encounter is maintaining access to datasets of sufficiently high quality for training, testing, and validation. By attending this webinar, you will learn how to improve computer vision by building active learning workflows that automate data labeling while estimating uncertainty with optimal accuracy and efficiency.
FEATURED PRESENTER:
Tyler McKean – Head of Customer Success, Superb AI
Accelerating Model Training with Gaudi Processors and Hyperparameter Optimization
Available on Demand
During this webinar, you will learn how Habana®, an Intel company and leading developer of AI processors, is collaborating with SigOpt, also an Intel company, to reduce model training times while consuming fewer computational resources according to MLPerf benchmarks.
By attending this webinar, you will be able to see a real-world application that illustrates how to optimize hyperparameters and lower model training times by combining Gaudi® AI processors from Habana® with SigOpt’s Intelligent Experimentation platform. You will also learn how to use SigOpt’s platform to run intelligent experiments and accelerate hyperparameter optimization while continually improving the efficiency and performance of your models.