Transformers and Attention in Machine Learning ft. Ekrem Aksoy - ML 039

Ekrem Aksoy joins the adventure to discuss transformers and the method of helping Machine Learning algorithms focus on the important parts of an image to determine what to do. Panel Ben WilsonCharles Max WoodDaniel SvobodaFrancois Bertrand Guest Ekrem Aksoy Sponsors Dev Influencers Accelerator Links Attention to TransformersAttention in the Human Brain and Its Applications in MLSee, Attend and Brake: An Attention-based Saliency Map Prediction Model for End-to-End DrivingEkrem Aksoy - MediumEkrem Aksoy, PhD - GradientLinkedIn: Ekrem Aksoy Picks Ben- Read all the blog posts in this episodeCharles- Accounting software | XeroCharles- The Prosperous CoachDaniel- Debt - Updated and Expanded: The First 5,000 Years Ekrem- The Book of Why: The New Science of Cause and EffectEkrem- Attention in Psychology, Neuroscience, and Machine Learning Contact Ben: DatabricksGitHub | BenWilson2/ML-EngineeringGitHub | databrickslabs/automl-toolkitLinkedIn: Benjamin Wilson Contact Charles: Devchat.tvDevChat.tv | FacebookTwitter: DevChat.tv ( @devchattv ) Contact Francois: Francois BertrandGitHub | fbdesignpro/sweetvizAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: