Essays about: "sequential training"

Showing result 21 - 25 of 40 essays containing the words sequential training.

1. 21. Deep Learning for Point Detection in Images

   University essay from Linköpings universitet/Datorseende

   Author : Björn Runow; [2020]
   Keywords : Deep learning; Point detection; U-Net; UNet ; HRNet; FCN; Weighted Hausdorff distance; EU-pallet; Computer vision;

   Abstract : The main result of this thesis is a deep learning model named BearNet, which can be trained to detect an arbitrary amount of objects as a set of points. The model is trained using the Weighted Hausdorff distance as loss function. BearNet has been applied and tested on two problems from the industry. READ MORE

3. 22. Scalable Hyperparameter Optimization: Combining Asynchronous Bayesian Optimization With Efficient Budget Allocation

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

   Author : Kai Jeggle; [2020]
   Keywords : ;

   Abstract : Automated hyperparameter tuning has become an integral part in the optimization of machine learning (ML) pipelines. Sequential model based optimization algorithms, such as bayesian optimization (BO), have been proven to be sample efficient with strong final performance. READ MORE

4. 23. Applying machine learning algorithms to multi-label text classification on GitHub issues

   University essay from Högskolan i Halmstad

   Author : Daniel Artmann; [2020]
   Keywords : ;

   Abstract : This report compares five machine learning algorithms in their ability to categorize code repositories. The focus of expanding software projects tend to shift from developing new software to the maintenance of the projects. Maintainers can label code repositories to organize the project, but this requires manual labor and time. READ MORE

5. 24. Continual imitation learning: Enhancing safe data set aggregation with elastic weight consolidation

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

   Author : Andreas Elers; [2019]
   Keywords : Elasticweight consolidation; SafeDAGGER; DAGGER; Rehearsal buffer; Self-driving vehicle; Continual learning; Elastisk viktkonsolidering; SafeDAGGER; DAGGER; Repeteringsbuffert; Självkörande fordon; Stegvis inlärning;

   Abstract : The field of machine learning currently draws massive attention due to ad- vancements and successful applications announced in the last few years. One of these applications is self-driving vehicles. A machine learning model can learn to drive through behavior cloning. Behavior cloning uses an expert’s behavioral traces as training data. READ MORE

6. 25. Scalable Gaussian Process Regression for Time Series Modelling

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

   Author : Vidhyarthi Boopathi; [2019]
   Keywords : Distributed Machine learning; Spark; Gaussian Processes; Regression; Time series; Distribuerad maskininlärning; Spark; Gaussiska processer; Regression; Sensormodellering; Tidsserier;

   Abstract : Machine learning algorithms has its applications in almost all areas of our daily lives. This is mainly due to its ability to learn complex patterns and insights from massive datasets. With the increase in the data at a high rate, it is becoming necessary that the algorithms are resource-efficient and scalable. READ MORE