Find me on Github/Twitter/Kaggle @SamDeepLearning.
Find me on LinkedIn @SamPutnam.
This Podcast is supported by Enterprise Deep Learning | Cambridge/Boston | New York City | Hanover, NH | http://www.EnterpriseDeepLearning.com. Contact: [email protected], 802-299-1240, P.O. Box 863, Hanover, NH, USA, 03755. We move deep learning to production.
I teach the worldwide Deploying Deep Learning Masterclass at http://www.DeepLearningConf.com in NYC regularly and am a Deep Learning Consultant serving Boston and New York City.
If you like Talking Machines, harvardnlp, CS231n, the Media Lab, CSAIL, karpathy.github.io, FAIR, Google Brain, Deeplearning4j, TensorFlow, Amazon Web Services, or Google Cloud Platform, you will like the podcast. Try it.
Tweet at @SamDeepLearning if you have questions & to correct me!
United States
6 episodes
since March 4, 2017


Justin Johnson, now at Facebook, wrote the original Torch implementation of the Gatys 2015 paper, which combines the content of one image and the style of another image using convolutional neural networks. Manuel Ruder’s newer 2016 paper transfers the style of one image to a whole video sequence, and it uses a computer vision technique called optical flow to generate consistent and stable stylized video sequences. Ruder’s implementation was used, by me, to generate a stylized butterfly video, located at https://medium.com/@SamPutnam/deep-learning-zero-to-one-art-generation-b532dd0aa390
Disclaimer: The podcast and artwork embedded on this page are from Sam Putnam, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.


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