Introduction to deep learning : from logical calculus to artificial intelligence /: from logical calculus to artificial intelligence. (2018)

• Record Type: Book
• Further Information: Note: Sandro Skansi.
• Authors: Skansi, Sandro
• Contents: From Logic to Cognitive Science -- Mathematical and Computational Prerequisites -- Machine Learning Basics -- Feed-forward Neural Networks -- Modifications and Extensions to a Feed-forward Neural Network -- Convolutional Neural Networks -- Recurrent Neural Networks -- Autoencoders -- Neural Language Models -- An Overview of Different Neural Network Architectures -- Conclusion.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2018
• Extent: 1 online resource (XIII, 191 pages), 38 illustrations
• Subjects: 006.312; Computer science; Machine learning; Neural networks (Computer science); Artificial intelligence -- Mathematics; Data mining; Optical pattern recognition; Coding theory; Computer vision; Pattern perception; Neural networks (Computer science); Image processing; Data mining; Computer science; Coding theory; Computers -- Computer Vision & Pattern Recognition; Mathematics -- Applied; Computers -- Information Theory; Computers -- Computer Graphics; Pattern recognition; Mathematical modelling; Coding theory & cryptology; Image processing; Computers -- Database Management -- Data Mining; Data mining; Electronic books
• Languages: English
• ISBNs: 9783319730042; 3319730045
• Related ISBNs: 9783319730035; 3319730037
• Notes: Note: Includes bibliographical references and index.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.