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Transformers and Attention in Machine Learning ft. Ekrem Aksoy - ML 039
About this Episode
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
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- Ben Wilson
- Charles Max Wood
- Daniel Svoboda
- Francois Bertrand
- Ekrem Aksoy
- Attention to Transformers
- Attention in the Human Brain and Its Applications in ML
- See, Attend and Brake: An Attention-based Saliency Map Prediction Model for End-to-End Driving
- Ekrem Aksoy - Medium
- Ekrem Aksoy, PhD - Gradient
- LinkedIn: Ekrem Aksoy
- Ben- Read all the blog posts in this episode
- Charles- Accounting software | Xero
- Charles- The Prosperous Coach
- Daniel- Debt - Updated and Expanded: The First 5,000 Years
- Ekrem- The Book of Why: The New Science of Cause and Effect
- Ekrem- Attention in Psychology, Neuroscience, and Machine Learning
- Databricks
- GitHub | BenWilson2/ML-Engineering
- GitHub | databrickslabs/automl-toolkit
- LinkedIn: Benjamin Wilson
Advertising Inquiries: https://redcircle.com/brands
Privacy & Opt-Out: https://redcircle.com/privacy
Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
Hosts & Guests
No transcript available for this episode.
