10 Jan 2017
Yuwei at Numenta describes the SDR Classifier and lots of discussion ensues. This was recorded at the Numenta office at an internal meeting Summer 2016.
- 5 participants
- 31 minutes
7 Oct 2015
This discussion is a response to a mailing list conversation: http://lists.numenta.org/pipermail/nupic_lists.numenta.org/2015-September/011830.html
- 2 participants
- 5 minutes
16 Sep 2015
Subutai Ahmad, Numenta VP of Research, talks about NuPIC's Network API.
- 4 participants
- 42 minutes
1 Sep 2015
A screencast tutorial on how to run NuPIC swarms in a Docker container.
- 1 participant
- 13 minutes
3 Aug 2015
A walkthrough of the HTM Engine, which allows users to create and run hundreds of anomaly detection NuPIC models simultaneously, with an example application of New York City live traffic speeds.
See the code for this tutorial at https://github.com/nupic-community/htmengine-traffic-tutorial.
See the code for this tutorial at https://github.com/nupic-community/htmengine-traffic-tutorial.
- 1 participant
- 43 minutes
31 May 2014
Starting where the "One Hot Gym Prediction Tutorial" () left off, Matt shows how to convert a NuPIC prediction model into an anomaly detection model. See source code for this tutorial at https://github.com/numenta/nupic/tree/master/examples/opf/clients/hotgym/anomaly/one_gym.
- 1 participant
- 24 minutes
8 May 2014
With your host, Scott Purdy.
You can find Scott's iPython Notebook here http://fer.io/~scott/nupic_overview.ipynb (json) or here http://nbviewer.ipython.org/github/numenta/nupic/blob/master/examples/NuPIC%20Walkthrough.ipynb (static html).
Another one here: https://github.com/numenta/nupic/blob/master/examples/NuPIC%20Walkthrough.ipynb
You can find Scott's iPython Notebook here http://fer.io/~scott/nupic_overview.ipynb (json) or here http://nbviewer.ipython.org/github/numenta/nupic/blob/master/examples/NuPIC%20Walkthrough.ipynb (static html).
Another one here: https://github.com/numenta/nupic/blob/master/examples/NuPIC%20Walkthrough.ipynb
- 11 participants
- 1:25 hours
21 Mar 2014
This is a good tutorial for complete NuPIC newbies. It walks through setting up sine wave input data from scratch, swarming over the data to generate the best model parameters, and running the resulting model through NuPIC. Continues to show how to programmatically swarm against data and create a model based on the swarm result.
Source code: https://github.com/rhyolight/nupic.examples/blob/master/sine-prediction/sine_experiment.py
UPDATE: The interface for programmatic swarming has changed. Please see https://github.com/numenta/nupic/wiki/Running-Swarms#running-a-swarm-programmatically for updated instructions.
Source code: https://github.com/rhyolight/nupic.examples/blob/master/sine-prediction/sine_experiment.py
UPDATE: The interface for programmatic swarming has changed. Please see https://github.com/numenta/nupic/wiki/Running-Swarms#running-a-swarm-programmatically for updated instructions.
- 1 participant
- 34 minutes