Nengo is a powerful development environment at every scale Among other things, Nengo is used to implement networks for deep learning, vision, motor control, visual attention, serial recall, action …

Nengo ¶ Nengo is a Python library for building and simulating large-scale neural models. Nengo can create sophisticated spiking and non-spiking neural simulations with sensible defaults in a few lines …

Nengo is a graphical and scripting based Python package for simulating large-scale neural networks.

A Nengo object is a part of your model that represents information. When creating a new object, you must place it within a with block in order to inform Nengo which network your object should be placed in.

Coming from TensorFlow to NengoDL ¶ NengoDL combines two frameworks: Nengo and TensorFlow. This tutorial is designed for people who are familiar with TensorFlow and looking to learn more about …

Nengo is a graphical and scripting based Python package for simulating large-scale neural networks.

The core of the Nengo ecosystem is the Python library nengo, which includes the five Nengo objects (Ensemble, Node, Connection, Probe, Network) and a NumPy-based simulator.

Nengo ¶ Nengo is a Python library for building and simulating large-scale neural models. Nengo can create sophisticated spiking and non-spiking neural simulations with sensible defaults in a few lines …

Optimizing a spiking neural network ¶ Almost all deep learning methods are based on gradient descent, which means that the network being optimized needs to be differentiable. Deep neural networks are …

The Nengo API, and a NumPy-backed reference simulator, matured into what we have now released as Nengo 2.0. Since standardizing on the scripting frontend of Nengo 2.0, new backends have begun …