Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
---|---|---|---|
1 |
Material Type: Book
|
Artificial Intelligence in the Age of Neural Networks and Brain ComputingISBN: 0323961045 ;ISBN: 9780323961042 ;EISBN: 9780323958165 ;EISBN: 0323958168 ;OCLC: 1402818808Digital Resources/Online E-Resources |
|
2 |
Material Type: Book
|
The Applied TensorFlow and Keras WorkshopISBN: 9781800201217 ;ISBN: 1800201214 ;EISBN: 9781800201217 ;EISBN: 1800201214Digital Resources/Online E-Resources |
|
3 |
Material Type: Book
|
The Self-Assembling Brain: How Neural Networks Grow SmarterISBN: 9780691215518 ;ISBN: 0691215510 ;ISBN: 9780691181226 ;ISBN: 0691181225 ;EISBN: 9780691215518 ;EISBN: 0691215510 ;DOI: 10.1515/9780691215518 ;OCLC: 1224585570Digital Resources/Online E-Resources |
|
4 |
Material Type: Book
|
Hands-On Deep Learning with R: A practical guide to designing, building, and improving neural network models using RISBN: 1788993780 ;ISBN: 9781788993784 ;ISBN: 9781788996839 ;ISBN: 1788996836 ;EISBN: 1788993780 ;EISBN: 9781788993784 ;OCLC: 1153089714Full text available |
|
5 |
Material Type: Book
|
The Deep Learning Workshop: Learn the Skills You Need to Develop Your Own Next-Generation Deep Learning Models with TensorFlow and KerasEISBN: 1839210567 ;EISBN: 9781839210563 ;OCLC: 1189773751Full text available |
|
6 |
Material Type: Book
|
Hands-On One-shot Learning with Python: Learn to implement fast and accurate deep learning models with fewer training samples using PyTorchISBN: 1838824871 ;ISBN: 9781838824877 ;ISBN: 9781838825461 ;ISBN: 1838825460 ;EISBN: 1838824871 ;EISBN: 9781838824877 ;OCLC: 1151186067Full text available |
|
7 |
Material Type: Book
|
Hands-On Neuroevolution with Python: Build High-Performing Artificial Neural Network Architectures Using Neuroevolution-based AlgorithmsISBN: 183882491X ;ISBN: 9781838824914 ;EISBN: 1838822003 ;EISBN: 9781838822002 ;OCLC: 1134854915Full text available |
|
8 |
Material Type: Article
|
A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural NetworksIEEE transaction on neural networks and learning systems, 2014-07, Vol.25 (7), p.1229-1262ISSN: 2162-237X ;EISSN: 2162-2388 ;DOI: 10.1109/TNNLS.2014.2317880 ;CODEN: ITNNALDigital Resources/Online E-Resources |
|
9 |
Material Type: Article
|
Brain tumor segmentation with Deep Neural NetworksMedical image analysis, 2017-01, Vol.35, p.18 [Peer Reviewed Journal]Copyright © 2016 Elsevier B.V. All rights reserved. ;EISSN: 1361-8423 ;DOI: 10.1016/j.media.2016.05.004 ;PMID: 27310171Digital Resources/Online E-Resources |
|
10 |
Material Type: Article
|
Review of Deep Learning Algorithms and ArchitecturesIEEE 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: IAECCGFull text available |
|
11 |
Material Type: Article
|
Learning Spatial-Spectral-Temporal EEG Features With Recurrent 3D Convolutional Neural Networks for Cross-Task Mental Workload AssessmentIEEE transactions on neural systems and rehabilitation engineering, 2019-01, Vol.27 (1), p.31-42 [Peer Reviewed Journal]ISSN: 1534-4320 ;EISSN: 1558-0210 ;DOI: 10.1109/TNSRE.2018.2884641 ;PMID: 30507536 ;CODEN: ITNSB3Digital Resources/Online E-Resources |
|
12 |
Material Type: Book
|
Neural networks and animal behavior2005 Princeton University Press ;ISBN: 9780691096339 ;ISBN: 0691096325 ;ISBN: 9780691096322 ;ISBN: 0691096333 ;EISBN: 1400850789 ;EISBN: 9781400850785 ;DOI: 10.1515/9781400850785 ;OCLC: 864383228 ;LCCallNum: QL751.65.D37Full text available |
|
13 |
Material Type: Article
|
Brain-Inspired Learning on Neuromorphic SubstratesProceedings 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: IEEPADDigital Resources/Online E-Resources |
|
14 |
Material Type: Article
|
Distributed Recurrent Neural Networks for Cooperative Control of Manipulators: A Game-Theoretic PerspectiveIEEE transaction on neural networks and learning systems, 2017-02, Vol.28 (2), p.415EISSN: 2162-2388 ;DOI: 10.1109/tnnls.2016.2516565 ;PMID: 26812742Digital Resources/Online E-Resources |
|
15 |
Material Type: Article
|
Weighted Feature Fusion of Convolutional Neural Network and Graph Attention Network for Hyperspectral Image ClassificationIEEE transactions on image processing, 2022, Vol.31, p.1559 [Peer Reviewed Journal]EISSN: 1941-0042 ;DOI: 10.1109/TIP.2022.3144017 ;PMID: 35077363Digital Resources/Online E-Resources |
|
16 |
Material Type: Article
|
Network Traffic Classifier With Convolutional and Recurrent Neural Networks for Internet of ThingsIEEE 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: IAECCGFull text available |
|
17 |
Material Type: Book
|
Learning to Understand Remote Sensing Images: Volume 2https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode ;ISBN: 3038976997 ;ISBN: 9783038976998 ;DOI: 10.3390/books978-3-03897-699-8Full text available |
|
18 |
Material Type: Book
|
Learning to Understand Remote Sensing Images: Volume 1https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode ;ISBN: 9783038976851 ;ISBN: 3038976857 ;DOI: 10.3390/books978-3-03897-685-1Digital Resources/Online E-Resources |
|
19 |
Material Type: Article
|
Existence and uniform stability analysis of fractional-order complex-valued neural networks with time delaysIEEE transaction on neural networks and learning systems, 2015-01, Vol.26 (1), p.84EISSN: 2162-2388 ;DOI: 10.1109/TNNLS.2014.2311099 ;PMID: 25532158Digital Resources/Online E-Resources |
|
20 |
Material Type: Article
|
Convolutional Recurrent Neural Networks for Dynamic MR Image ReconstructionIEEE transactions on medical imaging, 2019-01, Vol.38 (1), p.280EISSN: 1558-254X ;DOI: 10.1109/TMI.2018.2863670 ;PMID: 30080145Digital Resources/Online E-Resources |