Nengo Dl Save

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Deep learning integration for Nengo

NengoDL is a simulator for Nengo <https://www.nengo.ai/nengo/>_ models. That means it takes a Nengo network as input, and allows the user to simulate that network using some underlying computational framework (in this case, TensorFlow <https://www.tensorflow.org/>_).

In practice, what that means is that the code for constructing a Nengo model is exactly the same as it would be for the standard Nengo simulator. All that changes is that we use a different Simulator class to execute the model.

For example:

.. code-block:: python

import nengo
import nengo_dl
import numpy as np

with nengo.Network() as net:
    inp = nengo.Node(output=np.sin)
    ens = nengo.Ensemble(50, 1, neuron_type=nengo.LIF())
    nengo.Connection(inp, ens, synapse=0.1)
    p = nengo.Probe(ens)

with nengo_dl.Simulator(net) as sim: # this is the only line that changes
    sim.run(1.0)

print(sim.data[p])

However, NengoDL is not simply a duplicate of the Nengo simulator. It also adds a number of unique features, such as:

• optimizing the parameters of a model through deep learning training methods (using the Keras API)
• faster simulation speed, on both CPU and GPU
• automatic conversion from Keras models to Nengo networks
• inserting TensorFlow code (individual functions or whole network architectures) directly into a Nengo model

If you are interested in NengoDL you may also be interested in KerasSpiking <https://www.nengo.ai/keras-spiking/>, a companion project to NengoDL that has a more minimal feature set but integrates even more transparently with the Keras API. See this page <https://www.nengo.ai/keras-spiking/nengo-dl-comparison.html> for a more detailed comparison between the two projects.

Documentation

Check out the documentation <https://www.nengo.ai/nengo-dl/>_ for

• Installation instructions <https://www.nengo.ai/nengo-dl/installation.html>_
• Details on the unique features of NengoDL <https://www.nengo.ai/nengo-dl/user-guide.html>_
• Tutorial for new users with a TensorFlow background <https://www.nengo.ai/nengo-dl/examples/from-tensorflow.html>_
• Tutorial for new users with a Nengo background <https://www.nengo.ai/nengo-dl/examples/from-nengo.html>_
• More in-depth examples <https://www.nengo.ai/nengo-dl/examples.html>_
• API reference <https://www.nengo.ai/nengo-dl/reference.html>_