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1
Hands-On Deep Learning with R: A Practical Guide to Designing, Building, and Improving Neural Network Models Using R
Hands-On Deep Learning with R: A Practical Guide to Designing, Building, and Improving Neural Network Models Using R
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Hands-On Deep Learning with R: A Practical Guide to Designing, Building, and Improving Neural Network Models Using R

ISBN: 9781788996839 ;ISBN: 1788996836 ;EISBN: 1788993780 ;EISBN: 9781788993784 ;OCLC: 1153089714

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2
The Deep Learning Workshop: Learn the Skills You Need to Develop Your Own Next-Generation Deep Learning Models with TensorFlow and Keras
The Deep Learning Workshop: Learn the Skills You Need to Develop Your Own Next-Generation Deep Learning Models with TensorFlow and Keras
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The Deep Learning Workshop: Learn the Skills You Need to Develop Your Own Next-Generation Deep Learning Models with TensorFlow and Keras

EISBN: 1839210567 ;EISBN: 9781839210563 ;OCLC: 1189773751

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3
Hands-On One-shot Learning with Python: Learn to Implement Fast and Accurate Deep Learning Models with Fewer Training Samples Using Pytorch
Hands-On One-shot Learning with Python: Learn to Implement Fast and Accurate Deep Learning Models with Fewer Training Samples Using Pytorch
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Hands-On One-shot Learning with Python: Learn to Implement Fast and Accurate Deep Learning Models with Fewer Training Samples Using Pytorch

ISBN: 9781838825461 ;ISBN: 1838825460 ;EISBN: 1838824871 ;EISBN: 9781838824877 ;OCLC: 1151186067

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4
Advanced Deep Learning with R: Become an Expert at Designing, Building, and Improving Advanced Neural Network Models Using R
Advanced Deep Learning with R: Become an Expert at Designing, Building, and Improving Advanced Neural Network Models Using R
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Advanced Deep Learning with R: Become an Expert at Designing, Building, and Improving Advanced Neural Network Models Using R

ISBN: 1789538777 ;ISBN: 9781789538779 ;EISBN: 1789534984 ;EISBN: 9781789534986 ;OCLC: 1135667629

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5
Hands-On Neuroevolution with Python: Build High-Performing Artificial Neural Network Architectures Using Neuroevolution-based Algorithms
Hands-On Neuroevolution with Python: Build High-Performing Artificial Neural Network Architectures Using Neuroevolution-based Algorithms
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Hands-On Neuroevolution with Python: Build High-Performing Artificial Neural Network Architectures Using Neuroevolution-based Algorithms

ISBN: 183882491X ;ISBN: 9781838824914 ;EISBN: 1838822003 ;EISBN: 9781838822002 ;OCLC: 1134854915

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6
A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks
A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks
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A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks

IEEE transaction on neural networks and learning systems, 2014-07, Vol.25 (7), p.1229-1262

ISSN: 2162-237X ;EISSN: 2162-2388 ;DOI: 10.1109/TNNLS.2014.2317880 ;CODEN: ITNNAL

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7
Python Deep Learning: Exploring Deep Learning Techniques and Neural Network Architectures with Pytorch, Keras, and TensorFlow
Python Deep Learning: Exploring Deep Learning Techniques and Neural Network Architectures with Pytorch, Keras, and TensorFlow
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Python Deep Learning: Exploring Deep Learning Techniques and Neural Network Architectures with Pytorch, Keras, and TensorFlow

ISBN: 1789348463 ;ISBN: 9781789348460 ;EISBN: 9781789349702 ;EISBN: 1789349702 ;OCLC: 1083464388

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8
Review of Deep Learning Algorithms and Architectures
Review of Deep Learning Algorithms and Architectures
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Review of Deep Learning Algorithms and Architectures

IEEE access, 2019, Vol.7, p.53040-53065 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2019.2912200 ;CODEN: IAECCG

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9
Neural networks and animal behavior
Neural networks and animal behavior
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Neural networks and animal behavior

2005 Princeton University Press ;ISBN: 9780691096339 ;ISBN: 0691096325 ;ISBN: 9780691096322 ;ISBN: 0691096333 ;EISBN: 1400850789 ;EISBN: 9781400850785 ;DOI: 10.1515/9781400850785 ;OCLC: 864383228 ;LCCallNum: QL751.65.D37

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10
Deep learning in bioinformatics
Deep learning in bioinformatics
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Deep learning in bioinformatics

Briefings in bioinformatics, 2017-09, Vol.18 (5), p.851-869 [Peer Reviewed Journal]

The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2016 ;The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com. ;The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbw068 ;PMID: 27473064

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11
Network Traffic Classifier With Convolutional and Recurrent Neural Networks for Internet of Things
Network Traffic Classifier With Convolutional and Recurrent Neural Networks for Internet of Things
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Network Traffic Classifier With Convolutional and Recurrent Neural Networks for Internet of Things

IEEE access, 2017-01, Vol.5, p.18042-18050 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2017 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2017.2747560 ;CODEN: IAECCG

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12
Learning to Understand Remote Sensing Images: Volume 2
Learning to Understand Remote Sensing Images: Volume 2
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Learning to Understand Remote Sensing Images: Volume 2

https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode ;ISBN: 3038976997 ;ISBN: 9783038976998 ;DOI: 10.3390/books978-3-03897-699-8

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13
Brain-Inspired Learning on Neuromorphic Substrates
Brain-Inspired Learning on Neuromorphic Substrates
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Brain-Inspired Learning on Neuromorphic Substrates

Proceedings of the IEEE, 2021-05, Vol.109 (5), p.935-950 [Peer Reviewed Journal]

ISSN: 0018-9219 ;EISSN: 1558-2256 ;DOI: 10.1109/JPROC.2020.3045625 ;CODEN: IEEPAD

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14
LSTM Fully Convolutional Networks for Time Series Classification
LSTM Fully Convolutional Networks for Time Series Classification
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LSTM Fully Convolutional Networks for Time Series Classification

IEEE access, 2018-01, Vol.6, p.1662-1669 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2017.2779939 ;CODEN: IAECCG

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15
Combining Convolutional Neural Network With Recursive Neural Network for Blood Cell Image Classification
Combining Convolutional Neural Network With Recursive Neural Network for Blood Cell Image Classification
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Combining Convolutional Neural Network With Recursive Neural Network for Blood Cell Image Classification

IEEE access, 2018-01, Vol.6, p.36188-36197 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2018.2846685 ;CODEN: IAECCG

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16
Convolutional Recurrent Deep Learning Model for Sentence Classification
Convolutional Recurrent Deep Learning Model for Sentence Classification
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Convolutional Recurrent Deep Learning Model for Sentence Classification

IEEE access, 2018-01, Vol.6, p.13949-13957 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2018.2814818 ;CODEN: IAECCG

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17
Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery
Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery
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Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery

IEEE transactions on geoscience and remote sensing, 2019-02, Vol.57 (2), p.924-935 [Peer Reviewed Journal]

ISSN: 0196-2892 ;EISSN: 1558-0644 ;DOI: 10.1109/TGRS.2018.2863224 ;CODEN: IGRSD2

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18
Audio-Based Drone Detection and Identification Using Deep Learning Techniques with Dataset Enhancement through Generative Adversarial Networks
Audio-Based Drone Detection and Identification Using Deep Learning Techniques with Dataset Enhancement through Generative Adversarial Networks
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Audio-Based Drone Detection and Identification Using Deep Learning Techniques with Dataset Enhancement through Generative Adversarial Networks

Sensors (Basel, Switzerland), 2021-07, Vol.21 (15), p.4953 [Peer Reviewed Journal]

2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 by the authors. 2021 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s21154953 ;PMID: 34372189

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19
Action Recognition in Video Sequences using Deep Bi-Directional LSTM With CNN Features
Action Recognition in Video Sequences using Deep Bi-Directional LSTM With CNN Features
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Action Recognition in Video Sequences using Deep Bi-Directional LSTM With CNN Features

IEEE access, 2018-01, Vol.6, p.1155-1166 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2017.2778011 ;CODEN: IAECCG

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20
A State-of-the-Art Survey on Deep Learning Theory and Architectures
A State-of-the-Art Survey on Deep Learning Theory and Architectures
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A State-of-the-Art Survey on Deep Learning Theory and Architectures

Electronics (Basel), 2019-03, Vol.8 (3), p.292 [Peer Reviewed Journal]

2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics8030292

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