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Rust Deep Learning
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- Snippet from Wikipedia: Deep learning
Deep learning is the subset of machine learning methods based on artificial neural networks (ANNs) with representation learning. The adjective "deep" refers to the use of multiple layers in the network. Methods used can be either supervised, semi-supervised or unsupervised.
Deep-learning architectures such as deep neural networks, deep belief networks, recurrent neural networks, convolutional neural networks and transformers 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.
Artificial neural networks were inspired by information processing and distributed communication nodes in biological systems. ANNs have various differences from biological brains. Specifically, artificial neural networks tend to be static and symbolic, while the biological brain of most living organisms is dynamic (plastic) and analog. ANNs are generally seen as low quality models for brain function.
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Rust: Rust Fundamentals, Rust Inventor: Rust Language Designer: Graydon Hoare on July 7, 2010; Rust RFCs, Rust Scripting, Rust Keywords, Rust Built-In Data Types, Rust Data Structures - Rust Algorithms, Rust Syntax, Rust OOP - Rust Design Patterns, Rust Package Manager (cargo-crates.io - Rust Crates - Rust Cargo), Rust Virtualization, Rust Interpreter, Rust REPL, Rust IDEs (JetBrains RustRover, IntelliJ - CLion with JetBrains Rust Plugins, Visual Studio Code), Rust Development Tools, Rust Linter, Rustaceans-Rust User, Rust Uses, List of Rust Software, Rust Popularity, Rust Compiler (rustc), Rust Transpiler, Rust DevOps - Rust SRE, Rust Data Science - Rust DataOps, Rust Machine Learning, Rust Deep Learning, Functional Rust, Rust Concurrency - Rust Parallel Programming - Async Rust, Rust Standard Library, Rust Testing, Rust Libraries, Rust Frameworks, Rust History, Rust Bibliography, Manning Rust Series, Rust Glossary - Rust Official Glossary, Rust Topics, Rust Courses, Rust Research, Rust GitHub, Written in Rust, Rust Awesome List. (navbar_rust)
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)
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