Unmanned aerial vehicles (UAVs), commonly known as drones, are now widely used worldwide to tackle various real-world tasks, including filming videos for various purposes, monitoring crops or other ...

Key Takeaways Courses include real projects that match current industry needsTopics range from AI, cloud, and web dev to Rust ...

The artificial intelligence community has long struggled with a fundamental challenge of making AI systems transparent and ...

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. - ...

Neural Network , Convolutional Neural Network , TensorFlow , Optical Character Recognition , Handwritten Digits , Handwritten Digit Recognition , Networks In Python , Machine Learning , Deep Learning ...

TensorFlow GNN (TF-GNN) is a scalable library for Graph Neural Networks in TensorFlow. This Python library enables GNN training and inference on graph-structured data by utilizing heterogeneous ...

Building and creating Neural Networks is mainly associated with such languages/environments as Python, R, or Matlab. However, there have been some new possibilities in the last few years.

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

Convolutional neural networks use principles from linear algebra, notably matrix multiplication, to discover patterns inside an image, making them more scalable for image classification and object ...