InfoWorld

The most popular neural network styles and how they work

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...
Hackaday

Neural Networks: You’ve Got It So Easy

Neural networks are all the rage right now with increasing numbers of hackers, students, researchers, and businesses getting involved. The last resurgence was in the 80s and 90s, when there was little ...
GeekWire

Google open-sources ‘TensorFlow’ machine learning system, offering its neural network to outside developers

You’ve likely used products shaped by Google’s machine learning system. The neural network has helped Google understand the subject in each Google Photos upload and what you’re saying when you talk to ...
pv magazine International

Ultra-short-term PV forecasting based on convolutional neural network, long short-term memory

Scientists have created a novel probabilistic model for 5-minutes ahead PV power forecasting. The method combines a convolutional neural network with bidirectional long short-term memory, attention ...
VentureBeat

Google releases TF-GNN for creating graph neural networks in TensorFlow

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Let the OSS Enterprise newsletter guide your open source journey! Sign up ...
Semiconductor Engineering

Convolutional Neural Network (CNN)

Convolutional Neural Networks (CNN) are mainly used for image recognition. The fact that the input is assumed to be an image enables an architecture to be created such that certain properties can be ...
TechCrunch

Google DeepMind open sources Sonnet so you can build neural networks in TensorFlow even quicker

Google’s DeepMind announced today that it was open sourcing Sonnet, its object-oriented neural network library. Sonnet doesn’t replace TensorFlow, it’s simply a higher-level library that meshes well ...