Skip to the content

RISHI RAJ S GERA

SVP Edtech Services, Magic Edtech

RISHI RAJ S GERA

SVP Edtech Services, Magic Edtech

  • Home
  • My Profile
    • Know your Consultant
    • Technical Skills
    • My Certifications
  • Expertise
    • Education Advisory Services
    • Digital Transformation
      • Platform Engineering
      • Digital Content – Micro Learning Instruction
  • Resources
    • News and Trends

Amazon SageMaker Automatic Model Tuning now provides up to 3x faster hyperparameter tuning with Hyperband as a new search strategy

Advanced learning
    • By
    • No Comments on Amazon SageMaker Automatic Model Tuning now provides up to 3x faster hyperparameter tuning with Hyperband as a new search strategy
    • September 16, 2022

Amazon SageMaker Automatic Model Tuning now provides up to 3x faster hyperparameter tuning with Hyperband as a new search strategy

Amazon SageMaker Automatic Model Tuning allows you to find the most accurate version of your machine learning model by searching for the optimal set of hyperparameter configurations. SageMaker Automatic Model Tuning now supports Hyperband, a new search strategy that can find the optimal set of hyperparameters up to 3x faster than Bayesian search for large-scale models such as deep neural networks that address computer vision problems.

Share this:

  • Click to share on Twitter (Opens in new window)

Related

Leave a Reply Cancel reply

Follow Blog via Email

Enter your email address to follow this blog and receive notifications of new posts by email.

Generated by Feedzy
Back To Top