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Tutorials
Sugandha edited this page Sep 12, 2019
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Please bring your laptops with the following installed before coming to the tutorial:
- Jupyter notebook: follow instructions at https://jupyter.org/install to install Jupyter notebook. Note that as mentioned on this page, you can also install both Jupyter notebook and Python using Anaconda.
- Python: download from https://www.python.org/downloads/ if you are not installing using Anaconda.
- PyTorch: follow instructions at https://pytorch.org/ to install PyTorch. Once installed, you should be able to do
import torchin Python. - Download the repo:
git clone https://github.com/jennhu/rnn-tutorial.git
Please bring your laptops with the following installed before coming to the tutorial:
- Python (download from https://www.python.org/downloads/). Python versions 3.5 and above are fine.
-
Nengo
- Use
pip install nengousing the standard python installation system.
- Once installed, you should be able to
mport nengoin Python.
- Nengo's only required dependency is NumPy, and pip should automatically install it when it installs Nengo. However if anything goes wrong, you can manually install NumPy. See instructions here under "Installing NumPy".
- Use "pip install nengo-gui" using the standard python installation system.
- Once installed, you should be able to
import nengo_guiin Python.
- Nengo gui is accessed through a web browser (Google Chrome recommended). To start the Nengo GUI server, open a command line window and run
nengo.
If you encounter any issues while using Nengo GUI, please file a bug report here (new issue -> bug report).
Tutorial slides, and code for a simplified newsome model (a model of context based decision making) can be found here .
Paper describing the above newsome model along with the detailed results: sharma_cogsci2016.pdf.
Nengo Website: https://www.nengo.ai/.
Neural Engineering Framework: summary.