Researchers propose a deep neural network-based forward design space exploration using active transfer learning and data augmentation ...

Neural networks are now applied across the spectrum of AI applications while deep learning is reserved for more specialized or advanced AI use cases. Written by eWEEK content and product ...

Dec. 1, 2021 — Using artificial intelligence and deep learning, researchers have developed a neural network that 'hallucinates' the structures of new protein molecules.

This feedback can potentially guide developers to optimize their network model for improved quality and performance.” The NVIDIA Nsight Deep Learning Designer 2021.1 SDK is now available to ...

The Deep Network Designer (see figure) provides a way to use pretrained models including SqueezeNet, Inception-v3, ResNet-101, GoogLeNet, and VGG-19, as well as developing new models.

Deep learning, aka deep networks, can be useful—but it has limitations.

System 2 deep learning is still in its early stages, but if it becomes a reality, it can solve some of the key problems of neural networks, including out-of-distribution generalization, causal ...

During the COVID-19 crisis period, when GDP growth became unusually volatile, the advantages of deep learning became even ...

Born in the 1950s, the concept of an artificial neural network has progressed considerably. Today, known as “deep learning”, its uses have expanded to many areas, including finance.