Our guest today is Kyle Kranen, Senior Deep Learning Algorithm Engineer at Nvidia.
In our conversation, Kyle first explains how he got into the field and talks about his internship at Condati where he worked on Data Science and visualisation applied to marketing.
We then dig into deep learning and dive into Kyle’s first project at Nvidia, working with Mask R-CNN in the deep learning algorithm team.
We finally explore graph neural networks which have recently become quite popular. Kyle explains the theory behind those algorithms and gives clear examples on how they can be applied in industry.
If you enjoyed the episode, please leave a 5 star review and subscribe to the AI Stories Youtube channel.
Follow Kyle on LinkedIn: https://www.linkedin.com/in/kyle-kranen/
Follow Neil on LinkedIn: https://www.linkedin.com/in/leiserneil/
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(00:00) : Intro
(01:41) : How Kyle got into machine learning
(09:16) : Data Science applied to Marketing @Condati
(15:22) : Deep learning
(24:10) : Kyle’s first project working on Mask R-CNN @NVIDIA
(30:02): Deep learning algorithms team @NVIDIA
(35:12) : Debugging models
(41:00) : Graph Neural Networks
(58:00) : Career advice
Our guest today is Kyle Kranen, Senior Deep Learning Algorithm Engineer at Nvidia.
In our conversation, Kyle first explains how he got into the field and talks about his internship at Condati where he worked on Data Science and visualisation applied to marketing.
We then dig into deep learning and dive into Kyle’s first project at Nvidia, working with Mask R-CNN in the deep learning algorithm team.
We finally explore graph neural networks which have recently become quite popular. Kyle explains the theory behind those algorithms and gives clear examples on how they can be applied in industry.
If you enjoyed the episode, please leave a 5 star review and subscribe to the AI Stories Youtube channel.
Follow Kyle on LinkedIn: https://www.linkedin.com/in/kyle-kranen/
Follow Neil on LinkedIn: https://www.linkedin.com/in/leiserneil/
---
(00:00) : Intro
(01:41) : How Kyle got into machine learning
(09:16) : Data Science applied to Marketing @Condati
(15:22) : Deep learning
(24:10) : Kyle’s first project working on Mask R-CNN @NVIDIA
(30:02): Deep learning algorithms team @NVIDIA
(35:12) : Debugging models
(41:00) : Graph Neural Networks
(58:00) : Career advice