A neural network, which has multiple hidden layers, can also be termed a deep learning algorithm. Deep learning leverages neural networks with several hidden layers, which are useful in handling ...

This collection welcomes submissions on explainability techniques for deep learning neural networks, encompassing diverse neural architectures and ensuring broad applicability to different domains.

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

In a market where billions are traded every day, predictive accuracy is paramount. By combining adaptive decomposition, deep ...

Deep learning systems—a type of unsupervised machine learning—are increasingly used with neural networks. They’re called “deep learning” because they contain large numbers of neural layers.

The neural net “employs a feedforward neural network with a precisely calibrated 4-60-12 architecture and sigmoid activation functions.” This leads to an approximate 85% accuracy being able to ...

What are convolutional neural networks in deep learning? Convolutional neural networks are used in computer vision tasks, which employ convolutional layers to extract features from input data.

On the 10th anniversary of key research that led to deep learning breakthroughs, AI luminaries say the 'revolution' will continue.