KL Divergence: The Mathematical Tool to Measure the Difference Between Two Worlds
Failed to add items
Sorry, we are unable to add the item because your shopping cart is already at capacity.
Add to basket failed.
Please try again later
Add to Wish List failed.
Please try again later
Remove from Wish List failed.
Please try again later
Follow podcast failed
Unfollow podcast failed
KL Divergence: The Mathematical Tool to Measure the Difference Between Two Worlds
-
Narrated by:
-
By:
About this listen
This episode explains the Kullback-Leibler (KL) divergence, a mathematical tool for measuring the difference between two probability distributions.
It details its use to evaluate and improve the performance of AI models, including identifying prediction errors, particularly those concerning rare but critical classes. The original article proposes best practices for integrating the KL divergence into model development, including visualization of distributions and regular iteration. Finally, it highlights the importance of customizing models using industry-specific data to reduce divergence and improve accuracy.
What listeners say about KL Divergence: The Mathematical Tool to Measure the Difference Between Two Worlds
Average Customer RatingsReviews - Please select the tabs below to change the source of reviews.
In the spirit of reconciliation, Audible acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.