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

Neural Networks and Deep Learning are the two hot buzzwords used nowadays with Artificial Intelligence. The recent developments in the world of Artificial intelligence can be attributed to these two ...

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.

A brief history of AI, machine learning, artificial neural networks, and deep learning.

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.

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

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 ...