Python’s been the language of data science since before machine learning was trendy, and now you can use it for building AI ...

This repository contains code for running Convolutional Neural Networks (CNNs) on CircuitPython. It contains code to train models using Tensorflow on computers and convert them to CircuitPython. - ...

Evaluation results on an open-source malicious code dataset indicate that our model's performance not only surpasses traditional machine learning methods, recurrent neural networks (RNNs), and ...

Dr. James McCaffrey of Microsoft Research details the 'Hello World' of image classification: a convolutional neural network (CNN) applied to the MNIST digits dataset.

This book by Seth Weidman explains the inner working of neural networks. The book will teach the user how to apply convolutional neural networks, multilayer neural networks, and recurrent neural ...

PyTorch Geometric (PyG) is a python framework for deep learning on irregular structures like graphs, point clouds and manifolds.

Running "Code 1" [in standalone code sect.] works fine and engages the GPU, obviously the results are garbage but it is an illustrative example. By adding either a convolutional layer, max pooling ...