The Nengo DL team is fired up to announce the release of Nengo DL 0.6.0.
What is Nengo DL?
Nengo DL is a backend for Nengo that integrates deep learning methods (supported by the TensorFlow framework) with other Nengo modelling tools. This allows users to optimize their models using deep learning training methods, improves simulation speed (on CPU or GPU), and makes it easy to insert TensorFlow models (such as a convolutional neural network) into Nengo networks.
How do I use it?
To use Nengo DL, replace instances of
For example, if you have a network called
model and you run it with
with nengo.Simulator(model) as sim: sim.run(10)
you would change that to
with nengo_dl.Simulator(model) as sim: sim.run(10)
and that’s it!
Information on accessing the more advanced features of Nengo DL can be found in the documentation.
0.6.0 contains improvements to simulation memory usage (including support for truncated backpropagation), automatic reseeding of Processes when running batched simulations, more detailed profiling options, and fancy new progress bars. And, as always, we’ve fixed some bugs. Check out the GitHub release page for a full changelog.
How do I get it?
To install Nengo DL, we recommend using
pip install nengo_dl
More detailed installation instructions can be found here.
Where can I learn more?
Where can I get help?
You’re already there! If you have an issue upgrading or have any other questions, please post them in this forum.