Deep Learning

The word “deep” in “deep learning” refers to the number of layers through which the data is transformed.In 1986, Carnegie Mellon professor and computer scientist Geoffrey Hinton — now a Google researcher and long known as the “Godfather of Deep Learning” — was among several researchers who helped make neural networks. An Artificial Neural Network (ANN) with two or more hidden layers is known as a Deep Neural Network. The process of training deep neural networks is called deep learning. The term “deep” in deep learning refers to the number of hidden layers (also called depth) of a neural network

Deep learning is a method in artificial intelligence (AI) that teaches computers to process data in a way that is inspired by the human brain. Deep learning models can recognize complex patterns in pictures, text, sounds, and other data to produce accurate insights and predictions.To break it down in a single sentence: Deep Learning is a specialized subset of Machine Learning which, in turn, is a subset of Artificial Intelligence. In other words, Deep Learning is Machine Learning. But let’s dig a little bit deeper. AI serves as the broad, encompassing concept, while ML learns patterns from data, DL leverages deep neural networks for intricate pattern recognition, and Generative AI creates new content. Deep learning has aided image classification, language translation, speech recognition. It can be used to solve any pattern recognition problem and without human intervention. Artificial neural networks, comprising many layers, drive deep learning. In technical terms, deep learning uses something called “neural networks,” which are inspired by the human brain. 

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