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1.
Real time detection of driver drowsiness based on representation learning using deep neural networks by
Material type: Text Text; Format: print ; Literary form: Not fiction
Dissertation note: MPhil CS 2017-2018 INT
Availability: Items available for reference: IIITM-K: Not for loan (1).

2.
Deep neural networks in a mathematical framework Anthony L Caterini by Series: Springer Briefs in Computer Science
Material type: Text Text; Format: print ; Literary form: Not fiction
Publication details: Switzerland, Springer, 2018
Availability: Items available for loan: Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre (1)Call number: 006.32 CAT/D.

3.
Applied deep learning: A case-based approach to understanding deep neural networks Umberto Michelucci by
Material type: Text Text; Format: print ; Literary form: Not fiction
Publication details: New York, Apress, 2018
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Availability: Items available for loan: Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre (1)Call number: 006.31 MIC/A;1. Not available: Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre: Checked out (1).

4.
Learn keras for deep neural networks: A fast-track approach to modern deep learning with python Jojo Moolayil by
Material type: Text Text; Format: print ; Literary form: Not fiction
Publication details: New York, Apress, 2019
Availability: Items available for loan: Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre (1)Call number: 006.32 MOO/L.

5.
Deep learning for natural lanuage processing: Solve your natural language processing problems with smart deep neural networks Karthiek Reddy Bokka, Shubhangi Hora, Tanuj Jain, Monicah Wambugu by
Material type: Text Text; Format: print ; Literary form: Not fiction
Publication details: Birmingham/ Mumbai, Packt Publishing, 2019
Availability: Items available for loan: Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre (1)Call number: 006.35 BOK/D.

6.
Strenthening deep neural networks: Making AI less susceptible to adversarial trickery by
Material type: Text Text; Format: print ; Literary form: Not fiction
Publication details: New Delhi, O'Reilly/Shroff, 2019
Availability: Items available for loan: Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre (1)Call number: 006.32 WAR/S.

7.
Probability in Electrical Engineering and Computer Science An Application-Driven Course by
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8.
Advances in Public Transport Platform for the Development of Sustainability Cities by
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9.
IJERPH 15th Anniversary by
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10.
Future Smart Grid Systems by
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11.
Special Issue of the Manufacturing Engineering Society (MES) by
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12.
Special Issue of the Manufacturing Engineering Society (MES) Volume 2 by
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13.
Natural Language Processing: Emerging Neural Approaches and Applications by
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14.
Texture and Colour in Image Analysis by
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15.
AI AND THE SINGULARITY A FALLACY OR A GREAT OPPORTUNITY? by
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16.
Cultural Heritage Storytelling, Engagement and Management in the Era of Big Data and the Semantic Web by
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17.
Metalearning Applications to Automated Machine Learning and Data Mining by
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18.
Bio-inspired Audio Processing, Models and Systems by
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19.
Optics for AI and AI for Optics by
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20.
Mathematics and Digital Signal Processing by
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