

Transformers and Attention in Machine Learning ft. Ekrem Aksoy - ML 039
Jul 29, 2021
01:01:43
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.