Introduction to Deep Learning From Logical Calculus to Artificial Intelligence /
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...
Main Author: | Skansi, Sandro. (Author, http://id.loc.gov/vocabulary/relators/aut) |
---|---|
Corporate Author: | SpringerLink (Online service) |
Language: | English |
Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
|
Edition: | 1st ed. 2018. |
Series: | Undergraduate Topics in Computer Science,
|
Subjects: | |
Online Access: | https://doi.org/10.1007/978-3-319-73004-2 |
Similar Items
-
Deep Neural Evolution Deep Learning with Evolutionary Computation / edited by Hitoshi Iba, Nasimul Noman.
Published: (2020) -
Centrality and Diversity in Search Roles in A.I., Machine Learning, Social Networks, and Pattern Recognition / by M.N. Murty, Anirban Biswas.
by: Murty, M.N., et al.
Published: (2019) -
Analog IC Placement Generation via Neural Networks from Unlabeled Data by António Gusmão, Nuno Horta, Nuno Lourenço, Ricardo Martins.
by: Gusmão, António., et al.
Published: (2020) -
Guide to Deep Learning Basics Logical, Historical and Philosophical Perspectives / edited by Sandro Skansi.
Published: (2020) -
Computational Methods for Deep Learning Theoretic, Practice and Applications / by Wei Qi Yan.
by: Yan, Wei Qi., et al.
Published: (2021)