Internship | Enhancing Neural Network Training with Expert Insights
6 dagen geleden
Role Overview
In the realm of deep learning, the availability of extensive labeled datasets is crucial for success. However, in the radar sector, such datasets can be limited based on specific applications. By harnessing the insights of experts, we aim to enhance the training methodologies and overall efficacy of models that rely on smaller labeled datasets. Experts can identify which features are more or less significant for the defined target classes, and they can also recognize variations in background clutter across different radar measurements. This understanding is vital, especially when background clutter does not contribute to the target class information, which can hinder the training process. In these scenarios, expert input can guide the neural network towards more relevant features.
The primary objective of this internship is to explore the types of expert knowledge that can facilitate the training process and determine the best ways to integrate this knowledge. Visualization techniques that emphasize the image pixels utilized for classification will serve as valuable tools in this endeavor. Furthermore, neural attention mechanisms will be employed to concentrate the training efforts on the image pixels that contain pertinent information. A variety of radar measurements corresponding to different target classes will be accessible for this project.
Candidate Expectations
We are seeking candidates who are nearing the completion of their degree in artificial intelligence, computer science, physics, mathematics, electrical engineering, or a related field, and who possess a background in signal processing or computer vision. Proficiency in programming with Matlab and/or Python is essential, along with a pragmatic approach to problem-solving. In addition to technical skills, we value strong communication abilities and a results-oriented mindset.
Benefits of the Internship
This internship represents a significant step in your career journey, providing an opportunity to gain insights into your potential future employer. At TNO, we prioritize your contributions and expertise as vital components of our innovation process. We are committed to supporting your personal and professional growth throughout your internship. You will receive comprehensive supervision and the freedom to maximize your potential. Additionally, we offer competitive internship compensation.
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Den Haag, Zuid-Holland, Nederland TNO VoltijdRole Overview In the realm of deep learning, the availability of extensive labelled datasets is crucial for optimal performance. However, in radar applications, such datasets can often be limited. By harnessing the insights of domain experts, we aim to enhance the training process and overall efficacy of neural networks, even when working with smaller...
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Den Haag, Zuid-Holland, Nederland TNO VoltijdRole Overview In the realm of deep learning, the availability of extensive labeled datasets is crucial for success. However, in radar technology, such datasets can often be limited based on specific applications. By harnessing the insights of domain experts, we aim to enhance the training methodologies and overall efficacy of neural networks, even when...
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Den Haag, Zuid-Holland, Nederland TNO VoltijdRole Overview In the realm of deep learning, the availability of extensive labeled datasets is crucial for optimal performance. However, in radar applications, such datasets can often be limited. By harnessing the insights of domain experts, we aim to enhance the training methodologies and overall efficacy of models even when working with smaller labeled...
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Den Haag, Zuid-Holland, Nederland TNO VoltijdRole Overview In the realm of deep learning, the availability of extensive labelled datasets is crucial for optimal performance. However, in radar technology, such datasets can often be limited based on specific applications. By harnessing the insights of domain experts, we aim to enhance the training methodology and overall efficacy of models that...
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Den Haag, Zuid-Holland, Nederland TNO VoltijdRole Overview In the realm of deep learning, the availability of extensive labelled datasets is crucial for optimal performance. However, in radar applications, such datasets are often limited. By harnessing the insights of domain experts, we aim to enhance the training process and overall efficacy of models even when working with smaller labelled...
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