This repository contains my implementation of a feed-forward neural network classifier in Python and Keras, trained on the Fashion-MNIST dataset. It closely follows the tutorial by The Clever ...

Python Neural Network IO Demo The demo creates a neural network ... but I used this encoding in the explanation to match the demo neural network architecture. Overall Program Structure The overall ...

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Abstract: Neuroevolutionary algorithms are one of most effective and extensively applied methods for neural architecture ... a Python library for evolving shallow and deep neural network (DNN) ...

Hands-On Graph Neural Networks Using Python begins with the fundamentals of graph theory and shows you how to create graph datasets from tabular data. As you advance, you’ll explore major graph neural ...

The interplay between data symmetries and network architecture ... in neural networks. Convolutional neural networks perform well in image recognition by exploiting the translation invariance of ...

They are developing a Quantum Convolutional Neural Network (QCNN) architecture to enhance the ... At the same time, drawing inspiration from the structure of classical convolutional neural ...

Additionally, both libraries make extensive use of the "numerical Python" (NumPy) add-in package to create vectors and matrices, which typically offer better performance than Python's built-in list ...