Handbook of Deep Learning Applications - Smart Innovation, Systems and Technologies
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Published By Springer International Publishing

9783030114787, 9783030114794

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Deep Learning for Driverless Vehicles

Handbook of Deep Learning Applications - Smart Innovation, Systems and Technologies ◽

10.1007/978-3-030-11479-4_4 ◽

2019 ◽

pp. 83-99 ◽

Cited By ~ 1

Author(s):

Cameron Hodges ◽

Senjian An ◽

Hossein Rahmani ◽

Mohammed Bennamoun

Keyword(s):

Deep Learning

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Why Dose Layer-by-Layer Pre-training Improve Deep Neural Networks Learning?

Handbook of Deep Learning Applications - Smart Innovation, Systems and Technologies ◽

10.1007/978-3-030-11479-4_13 ◽

2019 ◽

pp. 293-318

Author(s):

Seyyede Zohreh Seyyedsalehi ◽

Seyyed Ali Seyyedsalehi

Keyword(s):

Neural Networks ◽

Deep Neural Networks ◽

Layer By Layer

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Deep Learning for Document Representation

Handbook of Deep Learning Applications - Smart Innovation, Systems and Technologies ◽

10.1007/978-3-030-11479-4_5 ◽

2019 ◽

pp. 101-110 ◽

Cited By ~ 1

Author(s):

Mehran Kamkarhaghighi ◽

Eren Gultepe ◽

Masoud Makrehchi

Keyword(s):

Deep Learning ◽

Document Representation

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Springer: Deep Learning in eHealth

Handbook of Deep Learning Applications - Smart Innovation, Systems and Technologies ◽

10.1007/978-3-030-11479-4_14 ◽

2019 ◽

pp. 319-331 ◽

Cited By ~ 1

Author(s):

Peter Wlodarczak

Keyword(s):

Deep Learning

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Reducing Hierarchical Deep Learning Networks as Game Playing Artefact Using Regret Matching

Handbook of Deep Learning Applications - Smart Innovation, Systems and Technologies ◽

10.1007/978-3-030-11479-4_16 ◽

2019 ◽

pp. 345-362

Author(s):

Arindam Chaudhuri ◽

Soumya K. Ghosh

Keyword(s):

Deep Learning ◽

Game Playing ◽

Learning Networks

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An Application of Deep Learning in Character Recognition: An Overview

Handbook of Deep Learning Applications - Smart Innovation, Systems and Technologies ◽

10.1007/978-3-030-11479-4_3 ◽

2019 ◽

pp. 53-81 ◽

Cited By ~ 2

Author(s):

Sana Saeed ◽

Saeeda Naz ◽

Muhammad Imran Razzak

Keyword(s):

Deep Learning ◽

Character Recognition

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Applications of Deep Learning in Medical Imaging

Handbook of Deep Learning Applications - Smart Innovation, Systems and Technologies ◽

10.1007/978-3-030-11479-4_6 ◽

2019 ◽

pp. 111-127 ◽

Cited By ~ 1

Author(s):

Sanjit Maitra ◽

Ratul Ghosh ◽

Kuntal Ghosh

Keyword(s):

Deep Learning ◽

Medical Imaging

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Phase Identification and Workflow Modeling in Laparoscopy Surgeries Using Temporal Connectionism of Deep Visual Residual Abstractions

Handbook of Deep Learning Applications - Smart Innovation, Systems and Technologies ◽

10.1007/978-3-030-11479-4_10 ◽

2019 ◽

pp. 201-217

Author(s):

Kaustuv Mishra ◽

Rachana Sathish ◽

Debdoot Sheet

Keyword(s):

Phase Identification ◽

Workflow Modeling

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Deep Molecular Representation in Cheminformatics

Handbook of Deep Learning Applications - Smart Innovation, Systems and Technologies ◽

10.1007/978-3-030-11479-4_8 ◽

2019 ◽

pp. 147-159

Author(s):

Peng Jiang ◽

Serkan Saydam ◽

Hamed Lamei Ramandi ◽

Alan Crosky ◽

Mojtaba Maghrebi

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Deep Learning Applications to Cytopathology: A Study on the Detection of Malaria and on the Classification of Leukaemia Cell-Lines

Handbook of Deep Learning Applications - Smart Innovation, Systems and Technologies ◽

10.1007/978-3-030-11479-4_11 ◽

2019 ◽

pp. 219-257 ◽

Cited By ~ 1

Author(s):

G. Gopakumar ◽

Gorthi R. K. Sai Subrahmanyam

Keyword(s):

Deep Learning ◽

Cell Lines ◽

Leukaemia Cell

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Handbook of Deep Learning Applications - Smart Innovation, Systems and TechnologiesLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Deep Learning for Driverless Vehicles

Why Dose Layer-by-Layer Pre-training Improve Deep Neural Networks Learning?

Deep Learning for Document Representation

Springer: Deep Learning in eHealth

Reducing Hierarchical Deep Learning Networks as Game Playing Artefact Using Regret Matching

An Application of Deep Learning in Character Recognition: An Overview

Applications of Deep Learning in Medical Imaging

Phase Identification and Workflow Modeling in Laparoscopy Surgeries Using Temporal Connectionism of Deep Visual Residual Abstractions

Deep Molecular Representation in Cheminformatics

Deep Learning Applications to Cytopathology: A Study on the Detection of Malaria and on the Classification of Leukaemia Cell-Lines

Handbook of Deep Learning Applications - Smart Innovation, Systems and Technologies
Latest Publications