Blog

Learn About Our Meetup

5000+ Members

MEETUPS

LEARN, CONNECT, SHARE

Join our meetup, learn, connect, share, and get to know your Toronto AI community. 

JOB POSTINGS

INDEED POSTINGS

Browse through the latest deep learning, ai, machine learning postings from Indeed for the GTA.

CONTACT

CONNECT WITH US

Are you looking to sponsor space, be a speaker, or volunteer, feel free to give us a shout.

[P] Interpreting recurrent neural networks

[P] Interpreting recurrent neural networks

Feature importance along an ALS patient’s time series. The border between the red shade (output increasing features) and the blue shade (output decreasing features) represents the model’s output for each timestamp.

I’ve been working on interpreting recurrent neural networks, having made some changes on the SHAP package to adapt them to this type of model, on PyTorch. In order to share this, I’ve recently posted an article on Medium explaining the core concepts and showing examples of how it works on multivariate time series data. You can read it here: https://towardsdatascience.com/interpreting-recurrent-neural-networks-on-multivariate-time-series-ebec0edb8f5a

Also, feel free to ask me any questions, or to give some suggestions, if you’re interested in this topic 🙂

submitted by /u/AndreCNF
[link] [comments]

Next Meetup

 

Days
:
Hours
:
Minutes
:
Seconds

 

Plug yourself into AI and don't miss a beat

 


Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.