Introduction to deep learning : from logical calculus to artificial intelligence / Sandro Skansi.
Material type:
TextSeries: Undergraduate topics in computer sciencePublisher: Cham, Switzerland : Springer, 2018Description: 1 online resource (XIII, 191 pages) : 38 illustrationsContent type: - text
- computer
- online resource
- 9783319730042
- 3319730045
- 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
- 006.312 23
- QA76.9.D343
| Item type | Current library | Call number | Status | |
|---|---|---|---|---|
Цахим ном
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Эрдэм шинжилгээний номын сан | 006.312 | Available |
Academic
Includes bibliographical references and index.
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.
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Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force. UkOxU
English