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1.
Instructional Design Strategies for Deep Learning in Accelerated Courses Across Discipline
by Grincewicz, Amy M., Ph.D.  Capella University. 2017: 173 pages; 10285475.
2.
Deep Learning for Information Extraction
by Nguyen, Thien Huu, Ph.D.  New York University. 2018: 246 pages; 10260911.
3.
Deep Learning for Attribute Inference, Parsing, and Recognition of Face
by Luo, Ping, Ph.D.  The Chinese University of Hong Kong (Hong Kong). 2014: 122 pages; 3691916.
4.
Emotional Labor Training: The Effect of Deep Level Acting Training on Deep Level Acting and Emotional Exhaustion
by Breedon, Justine, M.A.  Southern Illinois University at Edwardsville. 2015: 104 pages; 1591327.
5.
Self -taught learning
by Raina, Rajat, Ph.D.  Stanford University. 2009: 155 pages; 3382948.
6.
Learning to Learn with Gradients
by Finn, Chelsea B., Ph.D.  University of California, Berkeley. 2018: 199 pages; 10930398.
7.
Spiking Neural Networks and Sparse Deep Learning
by Tavanaei, Amirhossein, Ph.D.  University of Louisiana at Lafayette. 2018: 176 pages; 10807940.
8.
Student perceptions about learning anatomy
by Notebaert, Andrew John, Ph.D.  The University of Iowa. 2009: 148 pages; 3368953.
9.
Learning to Play Cooperative Games via Reinforcement Learning
by Wei, Ermo, Ph.D.  George Mason University. 2018: 162 pages; 13420351.
11.
The significance of joy in the learning process
by Wood-Kofonow, Krystal F., Ph.D.  California Institute of Integral Studies. 2015: 183 pages; 3726279.
12.
An evolutionary method for training autoencoders for deep learning networks
by Lander, Sean, M.S.  University of Missouri - Columbia. 2014: 43 pages; 10180878.
14.
New Deep Learning Based Approaches for Biomedical Image Segmentation and Related Problems
by Yang, Lin, Ph.D.  University of Notre Dame. 2018: 129 pages; 13836469.
15.
Multimodal Deep Learning to Enhance the Practice of Radiology
by Badgeley, Marcus Alexander, Ph.D.  Icahn School of Medicine at Mount Sinai. 2019: 236 pages; 10974774.
16.
Emotional Labor Training: The Effect of Deep Level Acting Training on Nursing Anesthetist Students
by Schaefer, Lindsay, M.A.  Southern Illinois University at Edwardsville. 2019: 81 pages; 13877474.
17.
Optimization Methods Combining Variable Splitting with Deep Learning
by Cowen, Benjamin, Ph.D.  New York University Tandon School of Engineering. 2019: 136 pages; 13882605.
18.
Human Activity Analysis using Multi-modalities and Deep Learning
by Zhang, Chenyang, Ph.D.  The City College of New York. 2016: 115 pages; 10159927.
19.
Emotion Recognition Using Deep Learning
by Bishnoi, Amit, M.S.  California State University, Long Beach. 2019: 58 pages; 13862789.
20.
Leveraging Deep Neural Networks to Study Human Cognition
by Peterson, Joshua C., Ph.D.  University of California, Berkeley. 2018: 129 pages; 10930700.
23.
Supervised and Unsupervised Learning for Semantics Distillation in Multimedia Processing
by Liu, Yu, Ph.D.  State University of New York at Buffalo. 2018: 150 pages; 10932367.
24.
Unsupervised Learning under Uncertainty
by Mathieu, MichaĆ«l, Ph.D.  New York University. 2017: 159 pages; 10261120.
27.
A multidimensional investigation of deep and surface processing
by Dinsmore, Daniel L., Ph.D.  University of Maryland, College Park. 2011: 215 pages; 3478843.
28.
Multi-Task and Transfer Learning in Low-Resource Speech Recognition
by Meyer, Josh, Ph.D.  The University of Arizona. 2019: 172 pages; 22615820.
30.
Higher education administrators' perspective on service learning
by Cicero-Johns, Briana, Ed.D.  Marshall University. 2016: 173 pages; 10192164.
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