Natural Language Processing (NLP): Deep learning models, particularly recurrent neural networks (RNNs) and transformers, have greatly advanced the field of NLP.

Deep learning, in turn, is another subset of machine learning — but more sophisticated and complex in how it operates. When we say deep learning, we really imply a set of neural networks that ...

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

The “deep” in deep learning comes from the many layers that are built into the deep learning models, which are typically neural networks. A convolutional neural network (CNN) can be made up of many, ...

Deep learning vs. machine learning: what's the difference between the two? We provide a simplified explanation of both AI-based technologies.

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.

What is the difference between AI, Machine Learning, NLP, and Deep Learning? This question was originally answered on Quora by Dmitriy Genzel.

A classification problem is a supervised learning problem that asks for a choice between two or more classes, usually providing probabilities for each class. Leaving out neural networks and deep ...

Deep Learning, Weights, and Neural Network Activity As machine learning has advanced, researchers and programmers have dived deeper into what algorithms are able to accomplish. A layer beyond machine ...