Convolutional Neural Networks are a part of what made Deep Learning reach the headlines so often in the last decade. Today we’ll train an image classifier to tell us whether an image contains a dog or ...

We present a tutorial for MCMC methods that covers simple Bayesian linear and logistic models, and Bayesian neural networks. The aim of this tutorial is to bridge the gap between theory and ...

This toolkit provides interactive simulators and batch visualization pipelines for Topological Quantum Neural Networks (TQNNs), a gradient-free classification framework where the framework encodes ...

In this article, you learn how to use Python, PyTorch, and Azure Functions to load a pre-trained model for classifying an image based on its contents. Because you do all work locally and create no ...

A machine learning pipeline splits a complete machine learning task into a multistep workflow. Each step is a manageable component that you can develop, optimize, configure, and automate individually.