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![This Week in ML & AI](https://ph-avatars.imgix.net/825167/original.jpeg?auto=compress&codec=mozjpeg&cs=strip&auto=format&w=48&h=48&fit=crop&frame=1)
This Week in ML & AI
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My guest this week is Stefano Ermon, Assistant Professor of Computer Science at Stanford University, and Fellow at Stanford’s Woods Institute for the Environment. Stefano and I met at the Re-Work Deep Learning Summit earlier this year, where he gave a presentation on Machine Learning for Sustainability. Stefano and I spoke about a wide range of topics, including the relationship between...
![TWiML Talk 015 - Domain Knowledge in Machine Learning Models for Sustainability](https://ph-files.imgix.net/2bbbc0fe-f7c6-457f-b642-f3fe7d25ac46.jpeg?auto=compress&codec=mozjpeg&cs=strip&auto=format&w=48&h=48&fit=crop&frame=1)
TWiML Talk 015 - Domain Knowledge in Machine Learning Models for Sustainability
Featuring Stefano Ermon, Professor, Stanford
![This Week in ML & AI](https://ph-avatars.imgix.net/825167/original.jpeg?auto=compress&codec=mozjpeg&cs=strip&auto=format&w=48&h=48&fit=crop&frame=1)
![TWiML Talk 015 - Domain Knowledge in Machine Learning Models for Sustainability](https://ph-files.imgix.net/2bbbc0fe-f7c6-457f-b642-f3fe7d25ac46.jpeg?auto=compress&codec=mozjpeg&cs=strip&auto=format&w=48&h=48&fit=crop&frame=1)
TWiML Talk 015 - Domain Knowledge in Machine Learning Models for Sustainability
Featuring Stefano Ermon, Professor, Stanford
![This Week in ML & AI](https://ph-avatars.imgix.net/825167/original.jpeg?auto=compress&codec=mozjpeg&cs=strip&auto=format&w=48&h=48&fit=crop&frame=1)
This Week in ML & AI
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This week my guest is Shubho Sengupta, Research Scientist at Baidu. I had the pleasure of meeting Shubho at the Rework Deep Learning Summit earlier this year, where he delivered a presentation on Systems Challenges for Deep Learning. We dig into this topic in the interview, and discuss a variety of issues including network architecture, productionalization, operationalization and hardware.
The...
![TWiML Talk 014 - Scaling Deep Learning: Systems Challenges & More](https://ph-files.imgix.net/7ba77075-995a-44b4-9339-a334a24a67bf.jpeg?auto=compress&codec=mozjpeg&cs=strip&auto=format&w=48&h=48&fit=crop&frame=1)
TWiML Talk 014 - Scaling Deep Learning: Systems Challenges & More
Featuring Shubho Sengupta of Baidu Research
![This Week in ML & AI](https://ph-avatars.imgix.net/825167/original.jpeg?auto=compress&codec=mozjpeg&cs=strip&auto=format&w=48&h=48&fit=crop&frame=1)
![TWiML Talk 014 - Scaling Deep Learning: Systems Challenges & More](https://ph-files.imgix.net/7ba77075-995a-44b4-9339-a334a24a67bf.jpeg?auto=compress&codec=mozjpeg&cs=strip&auto=format&w=48&h=48&fit=crop&frame=1)
TWiML Talk 014 - Scaling Deep Learning: Systems Challenges & More
Featuring Shubho Sengupta of Baidu Research
![This Week in ML & AI](https://ph-avatars.imgix.net/825167/original.jpeg?auto=compress&codec=mozjpeg&cs=strip&auto=format&w=48&h=48&fit=crop&frame=1)
This Week in ML & AI
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My guest this week is Dr. James McCaffrey, research engineer at Microsoft Research. James and I cover a ton of ground in this conversation, including recurrent neural nets (RNNs), convolutional neural nets (CNNs), long short term memory (LSTM) networks, residual networks (ResNets), generative adversarial networks (GANs), and more. We also discuss neural network architecture and promising...
![TWiML Talk 013 - Understanding Deep Neural Networks](https://ph-files.imgix.net/3446adb9-fa04-48c5-86d8-9e88c0154b7d.jpeg?auto=compress&codec=mozjpeg&cs=strip&auto=format&w=48&h=48&fit=crop&frame=1)
TWiML Talk 013 - Understanding Deep Neural Networks
Featuring Dr. James McCaffery
![This Week in ML & AI](https://ph-avatars.imgix.net/825167/original.jpeg?auto=compress&codec=mozjpeg&cs=strip&auto=format&w=48&h=48&fit=crop&frame=1)
![TWiML Talk 013 - Understanding Deep Neural Networks](https://ph-files.imgix.net/3446adb9-fa04-48c5-86d8-9e88c0154b7d.jpeg?auto=compress&codec=mozjpeg&cs=strip&auto=format&w=48&h=48&fit=crop&frame=1)
TWiML Talk 013 - Understanding Deep Neural Networks
Featuring Dr. James McCaffery