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Showing result 1 - 5 of 6 essays matching the above criteria.
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1. Deep Learning Model Deployment for Spaceborne Reconfigurable Hardware : A flexible acceleration approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Space debris and space situational awareness (SSA) have become growing concerns for national security and the sustainability of space operations, where timely detection and tracking of space objects is critical in preventing collision events. Traditional computer-vision algorithms have been used extensively to solve detection and tracking problems in flight, but recently deep learning approaches have seen widespread adoption in non-space related applications for their high accuracy. READ MORE
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2. Low-power Implementation of Neural Network Extension for RISC-V CPU
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Deep Learning and Neural Networks have been studied and developed for many years as of today, but there is still a great need of research on this field, because the industry needs are rapidly changing. The new challenge in this field is called edge inference and it is the deployment of Deep Learning on small, simple and cheap devices, such as low-power microcontrollers. READ MORE
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3. Low Power Hardware Accelerator For Gated Recurrent Unit
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Neural Networks are a subset of Machine Learning which are designed to recognize patterns. Recurrent Neural Networks are an important part of AI (Artificial Intelligence) which allows for short term as well as long term dependencies to be captured. READ MORE
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4. Implementation of a Deep Learning Inference Accelerator on the FPGA.
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Today, Artificial Intelligence is one of the most important technologies, ubiquitous in our daily lives. Deep Neural Networks (DNN's) have come up as state of art for various machine intelligence applications such as object detection, image classification, face recognition and performs myriad of activities with exceptional prediction accuracy. READ MORE
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5. Accelerating CNN on FPGA : An Implementation of MobileNet on FPGA
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Convolutional Neural Network is a deep learning algorithm that brings revolutionary impact on computer vision area. One of its applications is image classification. However, problem exists in this algorithm that it involves huge number of operations and parameters, which limits its possibility in time and resource restricted embedded applications. READ MORE