Essays about: "sequence to sequence learning"
Showing result 21 - 25 of 184 essays containing the words sequence to sequence learning.
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21. Balancing Authority and Freedom: Rousseau's Path to Resolving Educational Dilemmas in Malawian Primary Schools
University essay from Malmö universitet/Institutionen för barndom, utbildning och samhälle (BUS)Abstract : The Malawi primary education system is bifurcated into public primary schools, free primary schools sponsored by the government of Malawi, and private primary schools, primary schools run by private entities as a business. The two primary education branches subscribe to the polar opposite schools of thought on authority: traditional and progressive teaching methods respectively. READ MORE
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22. Implementation of Bolt Detection and Visual-Inertial Localization Algorithm for Tightening Tool on SoC FPGA
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With the emergence of Industry 4.0, there is a pronounced emphasis on the necessity for enhanced flexibility in assembly processes. In the domain of bolt-tightening, this transition is evident. Tools are now required to navigate a variety of bolts and unpredictable tightening methodologies. READ MORE
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23. Few-shot Question Generation with Prompt-based Learning
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : Question generation (QG), which automatically generates good-quality questions from a piece of text, is capable of lowering the cost of the manual composition of questions. Recently Question generation has attracted increasing interest for its ability to supply a large number of questions for developing conversation systems and educational applications, as well as corpus development for natural language processing (NLP) research tasks, such as question answering and reading comprehension. READ MORE
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24. Attention based Knowledge Tracing in a language learning setting
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Knowledge Tracing aims to predict future performance of users of learning platforms based on historical data, by modeling their knowledge state. In this task, the target is a binary variable representing the correctness of the exercise, where an exercise is a word uttered by the user. READ MORE
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25. AATrackT: A deep learning network using attentions for tracking fast-moving and tiny objects : (A)ttention (A)ugmented - (Track)ing on (T)iny objects
University essay from Jönköping University/JTH, Avdelningen för datavetenskapAbstract : Recent advances in deep learning have made it possible to visually track objects from a video sequence. Moreover, as transformers got introduced in computer vision, new state-of-the-art performances were achieved in visual tracking. READ MORE