This is a simple Python program to visualize neural networks ( only the one where each perceptron of a layer are linked to all the other ones of the next layer ). This program was made just to test ...

A great visualization python library used to work with Keras. It uses python's graphviz library to create a presentable graph of the neural network you are building. This library is still unstable.

The demo program is coded using raw Python (no libraries) with the NumPy numeric library, but you should have no trouble refactoring to another language, such as C# or Visual Basic, if you want.

A good way to see where this article ... But implementing a neural network in Python gives you a complete understanding of what goes on behind the scenes when you use a sophisticated machine learning ...

In this paper we introduce EvoFlow, a Python library for evolving shallow and deep neural network (DNN) architectures. EvoFlow optimizes network structures for DNNs implemented in tensorflow. Single ...

Unlike traditional neural network tasks, these mappings operate in infinite ... Researchers from NVIDIA and Caltech have introduced NeuralOperator, a new Python library designed to address these ...

In this paper we have introduced PyGeNN, a Python interface to the C++ based GeNN library for GPU accelerated spiking neural network simulations. Uniquely, the new interface provides access to all the ...

Python 3.6 is used in all cases ... take priority based on the needs of the users of the library. • Specialization of machine learning and reinforcement learning algorithms for spiking neural networks ...