Omslagsbillede

Deep Learning

Show other versions (7)

Saved in:

Bibliografiske detaljer
Hovedforfatter:	Goodfellow, Ian
Format:	Bog
Sprog:	engelsk
Udgivet:	London MIT Press 2016
Udgivelse:	1st edition
Fag:	Deep Learning Machine Learning Computer Science
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!

Lignende værker

Deep Learning /
af: Goodfellow, Ian
Udgivet: (2016)

Deep Learning : Foundations and Concepts /
af: M, Bishop Chrristopher
Udgivet: (2024)

Deep Learning Foundations and Concepts
af: M, Bishop Chrristopher
Udgivet: (2024)

Understanding Deep Learning /
af: D, Prince S J
Udgivet: (2024)

Understanding Deep Learning /
af: Prince, Simon J. D.
Udgivet: (2024)

Understanding Deep Learning
af: D, Prince S J
Udgivet: (2024)

Understanding Deep Learning
af: Prince, Simon J. D
Udgivet: (2024)

Deep Learning
af: Goodfellow
Udgivet: (2016)

DEEP LEARNING /
af: Goodfellow, Ian
Udgivet: (2016)

DEEP LEARNING /
af: Goodfellow, Ian
Udgivet: (2016)

DEEP LEARNING /
af: Goodfellow, Ian
Udgivet: (2016)

DEEP LEARNING
af: Goodfellow, Ian
Udgivet: (2016)

Hands-on Machine Learning with Scikit-Learn, Keras & TenserFlow Concepts, Tools, and Techniques to Build Intelligent Systems
af: Geron, Aurelien
Udgivet: (2019)

Deep Learning : foundations and concepts/
af: Bishop, Christopher M.
Udgivet: (2024)

Deep Learning/
af: Goodfellow, Ian
Udgivet: (2016)

Deep learning applications in translational bioinformatics.
Udgivet: (2024)

Deep Learning for Natural Language Processing /
af: Raaijmakers, Stephan
Udgivet: (2022)

Applications of deep machine learning in future energy systems /
Udgivet: (2024)

Machine Learning and Deep Learning in Computational Toxicology
Udgivet: (2023)

Deep Learning Foundations and Concepts /
af: Bishop, Christopher M., et al.
Udgivet: (2024)

Deep Learning Based Solutions for Vehicular Adhoc Networks
Udgivet: (2025)

A Combined Modeling Framework for Accurate Thunderstorm Forecasting in Low-Risk Areas of Bangladesh.
af: Sharmin Akther, et al.
Udgivet: (2026)

Machine Learning Methods
af: Li, Hang
Udgivet: (2024)

Iris and periocular recognition using deep learning /
af: Kumar, Ajay
Udgivet: (2024)

Principles of Machine Learning The Three Perspectives /
af: Wang, Wenmin
Udgivet: (2025)

Machine Learning in Bioinformatics : An introduction to machine learning methods and their applications to problems in bioinformatics /
af: Quing,Yan
Udgivet: (2009)

Machine Learning in Bioinformatics An introduction to machine learning methods and their applications to problems in bioinformatics
af: Quing,Yan
Udgivet: (2009)

Machine Learning with R : Learn how to Use R to Apply Powerful Machine Learning Methods and Gain an Insight Into Real-world Applications /
af: Lantz,Brett
Udgivet: (2013)

Machine Learning with R Learn how to Use R to Apply Powerful Machine Learning Methods and Gain an Insight Into Real-world Applications
af: Lantz,Brett
Udgivet: (2013)

Machine Learning using Python /
af: Pradhan, Manaranjan
Udgivet: (2022)

Machine Learning using Python
af: Pradhan, Manaranjan
Udgivet: (2022)

Probability and Statistics for Machine Learning A Textbook /
af: Aggarwal, Charu C.
Udgivet: (2024)

Deep learning with Python /
af: Chollet, François
Udgivet: (2018)

Trustworthy Machine Learning for Healthcare First International Workshop, TML4H 2023, Virtual Event, May 4, 2023, Proceedings /
Udgivet: (2023)

Applications of Game Theory in Deep Learning
af: Hazra, Tanmoy, et al.
Udgivet: (2024)

Machine Learning /
af: Dutt Saikat

Machine Learning /
af: Dutt Saikat

Machine Learning /
af: Dutt Saikat

Deep Learning Networks Design, Development and Deployment /
af: Singaram, Jayakumar, et al.
Udgivet: (2024)

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: concepts, tools, and techniques to build intelligent systems /
af: Géron, Aurélien
Udgivet: (2025)