Deep Learning: Foundations and Concepts (Latest Edition)

Deep Learning: Foundations and Concepts (Latest Edition)

Détails bibliographiques
Auteur principal:	Christopher M. Bishop, Hugh Bishop
Format:	Inconnue

Documents similaires

BIZ BEE launches latest edition of “Vision.”
par: The Daily Star
Publié: (2019)

Pattern recognition and machine learning /
par: Bishop, Christopher M.
Publié: (2006)

Deep learning /
par: Goodfellow, Ian
Publié: (2016)

Regarding submitting the latest construction schedule
par: BUCG-ABC Joint Venture (BUCG-ABC JV)
Publié: (2023)

Learning science teaching /
par: Bishop, Keith
Publié: (2007)

Deep learning with Python /
par: Chollet, François
Publié: (2018)

Grokking deep learning /
par: Trask, Andrew W.
Publié: (2019)

Introduction to deep learning /
par: Charniak, Eugene
Publié: (2018)

Deep Learning for Testing and Testing for Deep Learning (DeepTest), IEEE/ACM Third International Workshop on

Image recognition by deep learning
par: Mohiuddin, Karishma, et autres
Publié: (2018)

Deep Learning and Machine Learning in Emerging Applications (Deep-ML), International Conference on

Learning With Labview 2009
par: Bishop, Robert H

2021 IEEE/ACM Third International Workshop on Deep Learning for Testing and Testing for Deep Learning (DeepTest)

Deep learning for beginners : a beginner's guide to getting up and running with deep learning from scratch using Python /
par: Rivas, Pablo
Publié: (2020)

Research on the latest trends in Bangla named entity recognition
par: Farhan, Niloy, et autres
Publié: (2023)

Foundations of Indian Psychology, Volume 1 : Theories and Concepts
par: Misra, Girishwar;Cornelissen, R. M. Matthijs;Verma, Suneet

Foundations of machine learning /
par: Mohri, Mehryar, et autres
Publié: (2018)

2019 International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML)

E-Learning: Concepts and Practice
par: Bryn Holmes

Key Concepts in Learning Disabilities
par: Pat Talbot

Java Deep Learning Essentials : dive into the future of data science and learn how to build the sophisticated algorithms that are fundamental to deep learning and AI with Java /
par: Sugomori, Yusuke
Publié: (2016)

Weather forecasting using Deep Learning
par: Fahad, Sheikh Abdul, et autres
Publié: (2023)

Predicting crime using deep learning
par: Shihab, Muhammad Nafees, et autres
Publié: (2024)

Neural networks for pattern recognition /
par: Bishop, Christopher M.
Publié: (1995)

Learning with LabVIEW /
par: Bishop, Robert H., 1957-
Publié: (1999)

Java deep learning projects : implement 10 real-world deep learning applications using Deeplearning4j and open source APIs /
par: Karim, Md. Rezaul
Publié: (2018)

Foundations of problem-based learning /
par: Savin-Baden, Maggi, 1960
Publié: (2004)

Explorations in African History
par: Bishop

Phantom Limbs
par: Bishop

Finding Common Ground
par: Bishop

Kant in the Land of Extraterrestrials
par: Bishop

More
par: Bishop

The Anticipatory Corpse
par: Bishop

Ceramic Production in Early Hispanic California
par: Bishop

The Public Sector: Concepts, Models and Approaches (Third Edition)
par: Jan-Erik Lane

Psychology: Pearson New International Edition : Core Concepts
par: Zimbardo, Philip G.;Johnson, Robert L.;McCann, Vivian

Electrical Engineering and Computing Technologies (INTELLECT), International Conference on Latest trends in

Proceedings of the Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems

Rumor detection in Bangla using machine learning & deep learning
par: Ahmed, Md Istiaq, et autres
Publié: (2023)

Self-learning game bot using deep reinforcement learning
par: Ananto, Azizul Haque
Publié: (2018)