Introduction to Deep Learning : From Logical Calculus to Artificial Intelligence

Mã QR

Introduction to Deep Learning : From Logical Calculus to Artificial Intelligence

Đã lưu trong:

Sonraí Bibleagrafaíochta
Príomhúdar:	Skansi, Sandro
Formáid:	Sách
Teanga:	Undetermined
Foilsithe:	Springer 2018
Ábhair:	Pattern recognition;Machine Learning;
Clibeanna:	Cuir Clib Leis Gan Chlibeanna, Bí ar an gcéad duine leis an taifead seo a chlibeáil!

Thư viện lưu trữ:	Trung tâm Thư viện - Trường Đại học Công nghiệp TP. Hồ Chí Minh

Míreanna Comhchosúla

Introduction to Deep Learning
le: Skansi, Sandro
Foilsithe: (2020)

MATLAB deep learning : with machine learning, neural networks and artificial intelligence
le: Kim, Phil
Foilsithe: (2017)

Shape Understanding System
le: Les, Zbigniew, et al.
Foilsithe: (2015)

Deep learning
le: Goodfellow, Ian
Foilsithe: (2016)

Deep learning
le: Goodfellow, Ian
Foilsithe: (2016)

Pattern recognition and machine learning
le: Bishop, Christopher M.
Foilsithe: (2006)

Pattern recognition and machine learning /
le: Bishop, Christopher M.
Foilsithe: (2006)

Pattern recognition and machine learning /
le: Anzai, Yuichiro, 1946-
Foilsithe: (1992)

Artificial Intelligence and Computational Intelligence
Foilsithe: (2020)

Innovations in Applied Artificial Intelligence
Foilsithe: (2020)

Introduction to machine learning /
le: Nilsson, Nils J.
Foilsithe: (1996)

Deep Neural Networks in a Mathematical Framework
le: Caterini, Anthony L., et al.
Foilsithe: (2020)

Advances in Artificial Intelligence
Foilsithe: (2020)

New Trends in Applied Artificial Intelligence
le: Okuno, Hiroshi G., et al.
Foilsithe: (2020)

Deep Learning Classifiers with Memristive Networks
le: James, Alex Pappachen
Foilsithe: (2020)

Introduction to machine learning : An early draft of a proposed textbook /
le: Nilsson, Nils J.
Foilsithe: (1996)

Fundamentals of the New Artificial Intelligence
le: Munakata, Toshinori
Foilsithe: (2020)

Modeling Decisions for Artificial Intelligence
le: Torra, Vicenç, et al.
Foilsithe: (2020)

Human Centric Visual Analysis with Deep Learning
le: Lin, Liang, et al.
Foilsithe: (2020)

PRICAI 2018: Trends in Artificial Intelligence
le: Geng, Xin, et al.
Foilsithe: (2020)

Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence
Foilsithe: (2020)

Pattern recognition and machine learning
le: Bishop, Christopher M
Foilsithe: (2009)

Composing Fisher Kernels from Deep Neural Models
le: Azim, Tayyaba, et al.
Foilsithe: (2020)

Introduction to Intelligent Surveillance
le: Yan, Wei Qi
Foilsithe: (2020)

Deep Learning in Mining of Visual Content
le: Zemmari, Akka, et al.
Foilsithe: (2020)

Artificial Intelligence Applications in Information and Communication Technologies
le: Laalaoui, Yacine, et al.
Foilsithe: (2015)

Advances in Artificial Intelligence
le: Butz, Cory, et al.
Foilsithe: (2020)

Artificial Intelligence XXXVI
le: Bramer, Max, et al.
Foilsithe: (2020)

Guide to Deep Learning Basics
le: Skansi, Sandro
Foilsithe: (2020)

Advances in artificial intelligence : 14th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 2001, Ottawa, Canada, June 7-9, 2001 : proceedings /
Foilsithe: (2001)

Pattern recognition and machine learning
le: Bishop, Christopher M.
Foilsithe: (2006)

Artificial Intelligence and Soft Computing
le: Rutkowski, Leszek, et al.
Foilsithe: (2020)

Artificial Intelligence Techniques for Satellite Image Analysis
le: Hemanth, D. Jude
Foilsithe: (2020)

Advances in Artificial Intelligence -- IBERAMIA 2014
le: Bazzan, Ana L.C., et al.
Foilsithe: (2020)

Advances in Artificial Intelligence -- IBERAMIA 2012
le: Pavón, Juan, et al.
Foilsithe: (2020)

The correspondence analysis platform for uncovering deep structure in data and information /
le: Murtagh, Fionn.

Intelligent Data Engineering and Automated Learning – IDEAL 2017
le: Yin, Hujun, et al.
Foilsithe: (2020)

Computational Intelligence for Pattern Recognition
le: Pedrycz, Witold, et al.
Foilsithe: (2020)

Deep Learning-Based Approaches for Sentiment Analysis
le: Agarwal, Basant, et al.
Foilsithe: (2020)

Introduction to Fuzzy Logic using MATLAB
le: Sivanandam, S.N., et al.
Foilsithe: (2020)