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

What is Deep Learning and Neural Network? How are they together improving AI? Where they are used. Get all the information here.

Recently, deep learning and neural networks have become very prominent in shaping the technology that powers various industries.

Artificial neural networks forecasting our health Artificial neural networks have a wide range of uses in science and technology with applications across chemistry, physics and biology.

Artificial neural networks are better than other methods for more complicated tasks like image recognition, and the key to their success is their hidden layers. We'll talk about how the math of ...

Deep learning is a subset of machine learning which uses neural networks to perform learning and predictions. Deep learning has shown amazing performance in various tasks, whether it be text, time ...

A machine-vision algorithm can tell a book’s genre by looking at its cover. This paves the way for AI systems to design the covers themselves.

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

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.

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.