Essays about: "Djupinlärning"

Showing result 36 - 40 of 374 essays containing the word Djupinlärning.

1. 36. Velocity Obstacle method adapted for Dynamic Window Approach

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Florian Coissac; [2023]
   Keywords : Autonomous navigation; Local planning; Dynamic obstacle avoidance; ROS; Autonom navigering; Lokal planering; Dynamiskt undvikande av hinder; ROS;

   Abstract : This thesis project is part of an internship at Visual Behavior. The company aims at producing computer vision models for robotics, helping the machine to better understand the world through the camera eye. The image holds many features that deep learning models are able to extract: navigable area, depth inference and object detection. READ MORE

3. 37. Recommendation of Text Properties for Short Texts with the Use of Machine Learning : A Comparative Study of State-of-the-Art Techniques Including BERT and GPT-2

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Luciano Zapata; [2023]
   Keywords : Text classification; Short texts; Deep Learning; BERT; GPT; GPT-2; Transformers; Natural Language Processing; Textklassificering; Korta Texter; Djupinlärning; BERT; GPT; GPT-2; Transformatorer; Naturlig språkbehandling;

   Abstract : Text mining has gained considerable attention due to the extensive usage ofelectronic documents. The significant increase in electronic document usagehas created a necessity to process and analyze them effectively. READ MORE

4. 38. A Deep Learning approach to Analysing Multimodal User Feedback during Adaptive Robot-Human Presentations : A comparative study of state-of-the-art Deep Learning architectures against high performing Machine Learning approaches

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Manuel Fraile Rodríguez; [2023]
   Keywords : Human Feedback; Deep Learning; Convolutional Neural Networks; Transformers; Mänsklig återmatning; mänsklig feedback; djupinlärning; CNN; transformer;

   Abstract : When two human beings engage in a conversation, feedback is generally present since it helps in modulating and guiding the conversation for the involved parties. When a robotic agent engages in a conversation with a human, the robot is not capable of understanding the feedback given by the human as other humans would. READ MORE

5. 39. Real-time uncertainty estimation for deep learning

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Árni Dagur Guðmundsson; [2023]
   Keywords : Machine Learning; Deep Learning; Uncertainty Estimation; Evidential Deep Learning; Computer Vision; Maskininlärning; Djupinlärning; Osäkerhetsuppskattning; Evidential Deep Learning; Datorseende; Vélnám; Djúptauganet; Óvissumat; Evidential Deep Learning; Tölvusjón;

   Abstract : Modern deep neural networks do not produce well calibrated estimates of their own uncertainty, unless specific uncertainty estimation techniques are applied. Common uncertainty estimation techniques such as Deep Ensembles and Monte Carlo Dropout necessitate multiple forward pass evaluations for each input sample, making them too slow for real-time use. READ MORE

6. 40. Meta-Pseudo Labelled Multi-View 3D Shape Recognition

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Fehmi Ayberk Uçkun; [2023]
   Keywords : 3D shape recognition; 3D object classification; 3D shape retrieval; 3D object retrieval; Automatic labelling; Semi-supervised learning; Pseudo labelling; Meta Pseudo Labelling; Multi-View Convolutional Neural Networks; Shape descriptors; Multi-view representations; Deeplearning; 3D-formigenkänning; 3D-objektklassificering; 3D-formhämtning; Hämtning av 3D-objekt; Automatisk märkning; Halv-vägledd lärning; Pseudomärkning; Meta Pseudo-märkning; Multi-View Faltningsnät; Formbeskrivningar; Multi-view representation; Djupinlärning;

   Abstract : The field of computer vision has long pursued the challenge of understanding the three-dimensional world. This endeavour is further fuelled by the increasing demand for technologies that rely on accurate perception of the 3D environment such as autonomous driving and augmented reality. READ MORE