Search results
- Dictionarydeep learning
noun
- 1. a type of machine learning based on artificial neural networks in which multiple layers of processing are used to extract progressively higher level features from data: "the prototype will use a combination of deep learning, natural language processing, and dynamic network analysis to detect and examine the cross-platform spread of disinformation"
Powered by Oxford Dictionaries
Fundamentally, deep learning refers to a class of machine learning algorithms in which a hierarchy of layers is used to transform input data into a slightly more abstract and composite representation. For example, in an image recognition model, the raw input may be an image (represented as a tensor of pixels ).
May 26, 2024 · The definition of Deep learning is that it is the branch of machine learning that is based on artificial neural network architecture. An artificial neural network or ANN uses layers of interconnected nodes called neurons that work together to process and learn from the input data.
Deep learning is a subset of machine learning that uses multilayered neural networks, called deep neural networks, to simulate the complex decision-making power of the human brain. Some form of deep learning powers most of the artificial intelligence (AI) applications in our lives today.
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.
Dec 12, 2023 · Deep learning is just a type of machine learning, inspired by the structure of the human brain. Deep learning algorithms attempt to draw similar conclusions as humans would by continually analyzing data with a given logical structure. To achieve this, deep learning uses multi-layered structures of algorithms called neural networks.
Deep learning is a type of machine learning that uses artificial neural networks to learn from data. Artificial neural networks are inspired by the human brain, and they...
Mar 26, 2024 · Deep learning is a method that trains computers to process information in a way that mimics human neural processes. Learn more about deep learning examples and applications in this article. The field of artificial intelligence (AI) and machine learning (ML) is rapidly evolving, generating both fear and excitement.
Apr 29, 2024 · Deep learning, also known as neural organized learning, occurs when artificial neural networks learn from large volumes of data. Deep learning algorithms perform tasks repeatedly, tweaking them each time to improve the outcome. The algorithms depend on vast amounts of data to drive "learning."
Deep learning is a subset of machine learning (ML), where artificial neural networks—algorithms modeled to work like the human brain—learn from large amounts of data. How does deep learning work? Deep learning is powered by layers of neural networks, which are algorithms loosely modeled on the way human brains work.
Deep learning is a type of machine learning that can recognize complex patterns and make associations in a similar way to humans. Its abilities can range from identifying items in a photo or recognizing a voice to driving a car or creating an illustration.
