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Deep Learning (DL)
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- Snippet from Wikipedia: Deep learning
Deep learning is a subset of machine learning that focuses on utilizing neural networks to perform tasks such as classification, regression, and representation learning. The field takes inspiration from biological neuroscience and is centered around stacking artificial neurons into layers and "training" them to process data. The adjective "deep" refers to the use of multiple layers (ranging from three to several hundred or thousands) in the network. Methods used can be either supervised, semi-supervised or unsupervised.
Some common deep learning network architectures include fully connected networks, deep belief networks, recurrent neural networks, convolutional neural networks, generative adversarial networks, transformers, and neural radiance fields. These architectures have been applied to fields including computer vision, speech recognition, natural language processing, machine translation, bioinformatics, drug design, medical image analysis, climate science, material inspection and board game programs, where they have produced results comparable to and in some cases surpassing human expert performance.
Early forms of neural networks were inspired by information processing and distributed communication nodes in biological systems, particularly the human brain. However, current neural networks do not intend to model the brain function of organisms, and are generally seen as low-quality models for that purpose.
External Sites
Deep Learning: DL Fundamentals, DL Inventor: Arthur Samuel of IBM 1959 coined term Machine Learning. Synonym Self-Teaching Computers from 1950s. Experimental AI “Learning Machine” called Cybertron in early 1960s by Raytheon Company; ChatGPT, NLP, GAN, DL, ML - Machine Learning - Python Machine Learning, Deep Reinforcement Learning - Reinforcement Learning, MLOps, Cloud DL (AWS DL, Azure DL, Google DL-GCP DL-Google Cloud DL, IBM DL, Apple DL), Python Deep Learning, C++ Deep Learning, C# Deep Learning, Java Deep Learning, JavaScript Deep Learning, Golang Deep Learning, R Deep Learning, Rust Deep Learning, Scala Deep Learning, Swift Deep Learning, DL History, DL Bibliography, Manning AI-ML-DL-NLP-GAN Series, DL Glossary, DL Topics, DL Courses, DL Libraries, DL Frameworks, DL GitHub, DL Awesome List. (navbar_dl - see also navbar_ml, navbar_nlp, navbar_chatgpt, navbar_ai)
Artificial Intelligence (AI): AI Fundamentals, AI Inventor: Arthur Samuel of IBM 1959 coined term Machine Learning. Synonym Self-Teaching Computers from 1950s. Experimental AI “Learning Machine” called Cybertron in early 1960s by Raytheon Company; ChatGPT, NLP, GAN, AI winter, The Singularity, AI FUD, Quantum FUD (Fake Quantum Computers), AI Propaganda, Quantum Propaganda, Cloud AI (AWS AI, Azure AI, Google AI-GCP AI-Google Cloud AI, IBM AI, Apple AI), Deep Learning (DL), Machine learning (ML), AI History, AI Bibliography, Manning AI-ML-DL-NLP-GAN Series, AI Glossary, AI Topics, AI Courses, AI Libraries, AI frameworks, AI GitHub, AI Awesome List. (navbar_ai - See also navbar_dl, navbar_ml, navbar_nlp, navbar_chatgpt)
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