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Lets get together to discuss all aspects of deep learning.

In particular, this week I'm interested in learning more about ensemble methods for deep learning. If you get a chance and are so inclined check out The Relative Performance of Ensemble Methods with Deep Convolutional Neural Networks for Image Classification (https://arxiv.org/abs/1704.01664)

Also, bring any questions you may have on the Fast.AI or Andrew Ng's coursera course.

All levels of experience are welcome. We rarely have presentations, though we may someone leads a discussion. Bring your questions, projects and ideas, basic or advanced, and we'll try to help.

Don't forget the #deep-learning channel in the PDX Startups slack which you can join at https://pdx-startups-slack.herokuapp.com (https://pdx-startups-slack.herokuapp.com/)

Resources:

https://www.coursera.org/learn/neural-networks-deep-learning/

http://course.fast.ai

http://www.deeplearningbook.org (http://www.deeplearningbook.org/)

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