Introduction to Deep Learning From Logical Calculus to Artificial Intelligence /

• Κύριος συγγραφέας: Skansi, Sandro (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Undergraduate Topics in Computer Science,
• Θέματα: Machine learning.; Pattern recognition.; Neural networks (Computer science) .; Coding theory.; Information theory.; Machine Learning.; Pattern Recognition.; Mathematical Models of Cognitive Processes and Neural Networks.; Coding and Information Theory.

This textbook presents a concise, accessible and engaging first introduction to deep learning, offering a wide range of connectionist models which represent the current state-of-the-art. The text explores the most popular algorithms and architectures in a simple and intuitive style, explaining the m...

Πίνακας περιεχομένων:

• 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.