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Title: Deep learning : a visual approach / Andrew Glassner.
Main Entry: Glassner, Andrew S., author.
Publisher: No Starch Press,
Publication Date: [2021]
Publication Place: San Francisco :
ISBN: 9781718500723
1718500726
9781718500730
Subject: Machine learning.
Artificial intelligence.
Neural networks (Computer science)
Neural networks.
Artificial Intelligence
Neural Networks, Computer
Apprentissage automatique.
Intelligence artificielle.
R�eseaux neuronaux (Informatique)
artificial intelligence.
Neural networks (Computer science)
Machine learning.
Handbook
Handbooks and manuals.
Guides et manuels.
Contents: Part I: Foundational ideas -- An overview of machine learning -- Essential statistics -- Measuring performance -- Bayes' rule -- Curves and surfaces -- Information theory -- Part II: Basic machine learning -- Classification -- Training and testing -- Overfitting and underfitting -- Data preparation -- Classifiers -- Ensembles -- Part III: Deep learning basics -- Neural networks -- Backpropagation -- Optimizers -- Part IV: Beyond the basics -- Convolutional neural networks -- Convnets in practice -- Autoencoders -- Recurrent neural networks -- Attention and transformers -- Reinforcement learning -- Generative adversarial networks -- Creative applications.

Related Records: Online version: Glassner, Andrew. Deep learning San Francisco, CA : No Starch Press, Inc., [2021] 9781718500730 (DLC) 2020047327

Cover Image:

http://images.amazon.com/images/P/9781718500723.jpg

http://images.amazon.com/images/P/1718500726.jpg

http://images.amazon.com/images/P/9781718500730.jpg

	Agency:	Collection:	Call No.:	Item Type:	Status:	Due Date:	Item Notes:	Barcode:	Media Type:
	Yarmouk	General	Q325.5 .G58 2021	Normal Circulation	Out	2024-07-08 23:59:59.0	الكتاب موجود في الطابق الثالث	YU601140	Book