• How batch normalization led to faster, smarter AI training

  • Jan 4 2025
  • Length: 4 mins
  • Podcast

How batch normalization led to faster, smarter AI training

Listen for free

View show details

  • Summary

  • How do you speed up deep neural network training and improve its performance simultaneously? Batch Normalization is the answer. By addressing internal covariate shift, it allows models to train faster, requiring fewer steps and lower learning rates. In this episode, we break down how this technique was applied to a state-of-the-art image classification model, cutting training time by 14 times and surpassing human-level accuracy on ImageNet. Tune in to learn how Batch Normalization is transforming deep learning and setting new benchmarks in AI research.


    Link to research paper-

    https://arxiv.org/abs/1502.03167


    Follow us on social media:

    Linkedin: https://www.linkedin.com/company/smallest/

    Twitter: https://x.com/smallest_AI

    Instagram: https://www.instagram.com/smallest.ai/

    Discord: https://smallest.ai/discord
    Show more Show less
Show more Show less

What listeners say about How batch normalization led to faster, smarter AI training

Average Customer Ratings

Reviews - Please select the tabs below to change the source of reviews.

Audible.ca reviews

Amazon Reviews
No reviews are available