Export or edit this venue...

Tura.io

2828 Southwest Corbett Avenue
Portland, OR 97201, US (map)

Future events happening here

Past events that happened here

  • Wednesday
    Jan 10 2018
    Portland Deep Learning: Peer mentoring and discussion: Focus on Capsules

    Tura.io

    Lets get together to discuss all aspects of deep learning and any questions you may have on the Fast.AI or Andrew Ng's coursera course.

    We'll also focus on Hinton's capsules and see what we can make of them. Here are some useful links:

    • The Arxiv paper

    • A great youtube overview

    • A Medium Piece

    Can't wait to hear your experiences with capsules.

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

    Website
  • Wednesday
    Dec 13 2017
    Portland Deep Learning: Peer mentoring discussion + Matt Boyd w/ overview of setting up a project.

    Tura.io

    Lets get together to discuss all aspects of deep learning and any questions you may have on the Fast.AI or Andrew Ng's coursera course.

    Also our own Matt Boyd will lead a discussion on:

    "What I've found that works and can still be improved"

    Matt will do a brief overview of the general approach to setting up a deep learning Kaggle project, touch on 2 or 3 good practices to follow, and throw around some ideas of what to improve.

    Mat will cover how to index the data and build train/validation sets, finding the right balance of augmentation, and strategies for keeping results for 50+ different models straight.

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

    Website
  • Wednesday
    Nov 8 2017
    Ensemble methods, Peer mentoring and Coursera course discussion

    Tura.io

    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

    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

    Website