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Scala 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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Scala: Scala Fundamentals, Scala 3, Scala 2, SBT-Maven-Gradle, JVM, Scala Keywords, Scala Built-In Data Types, Scala Data Structures - Scala Algorithms, Scala Syntax, Scala OOP - Scala Design Patterns, Scala Installation (Scala 3 on Windows, Scala 3 on Linux, Scala 3 on macOS), Scala Containerization, Scala Configuration, Scala IDEs (JetBrains IntelliJ), Scala Linter, Scala on JVM, Scala Development Tools, Scala Compiler, Scala Transpiler (Scala.js, Scala Native), Scala REPL, Scala Testing (ScalaTest, ScalaCheck, JUnit, Hamcrest, Mockito, Selenium, TestNG), Scala Data Science - Scala DataOps, Scala Machine Learning - Scala MLOps, Scala Deep Learning, Functional Scala, Scala Concurrency - Scala Parallel Programming, Scala Libraries (Akka Toolkit), Scala Frameworks (Play Framework, Scalatra), Scala History, Scala Bibliography, Manning Scala Series, Scala Courses, Scala Glossary, Scala Topics, Scala Research, Scala GitHub, Written in Scala (Apache Spark, Apache Kafka, Apache Helix), Scala Popularity, Scala Awesome. (navbar_scala - see also navbar_scala_standard_library, navbar_scala_libraries, navbar_scala_reserved_words, navbar_scala_functional, navbar_scala_concurrency)
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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