Ein Deconvolutional Neural Network ist ein Convolutional Neural Network, das in umgekehrter Richtung arbeitet. Es ist eine eigenständige KI-Anwendung.

Convolutional und Recurrent Neural Networks haben unterschiedliche, aber sich ergänzende Fähigkeiten. Ein Vergleich der beiden Modellarchitekturen.

Arm stattet die eigenen GPUs mit Neural-Beschleunigern aus, um darauf KI-Workloads wie zum Start das Neural Super Sampling ...

Convolutional neural networks (CNNs) are a class of deep neural networks commonly used in computer vision tasks such as image and video recognition, object detection and image segmentation.

Modeled loosely on the human brain, artificial neural networks enable computers to learn from being fed data. This guide to neural networks aims to give you a conversational level of understanding ...

Now, the Erlangen-based researchers are using neural networks of this kind to develop error-correction learning for a quantum computer. Artificial neural networks are computer programs that mimic the ...

OneFlip is a Rowhammer-based attack that flips a single bit in neural network weights to stealthily backdoor AI systems.

Accurate neural network computer vision without the 'black box' Date: December 15, 2020 Source: Duke University Summary: New research offers clues to what goes on inside the minds of machines as ...

Computer-based neural networks that work like the human brain will further our understanding of how the brain works, and any attempts to create them will test that understanding.