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Showing result 1 - 5 of 9 essays matching the above criteria.
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1. Investigation of Facial Age Estimation using Deep Learning
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Age estimation from facial images has drawn increasing attention in the past fewyears. This thesis project performs the age group classification of facial imagesacquired in in-the-wild conditions using deep convolutional neural networkstechniques. READ MORE
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2. Effects of Local Data Distortion in Federated Learning
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : This study explored how clients with distorted data affected the Federated Learning process using the FedAvg and FedProx algorithms. Different amounts of the three distortions, Translation, Rotation, and Blur, were tested using three different Machine Learning models. READ MORE
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3. Evaluating Robustness of a CNN Architecture introduced to the Adversarial Attacks
University essay from Blekinge Tekniska HögskolaAbstract : Abstract: Background: From Previous research, state-of-the-art deep neural networks have accomplished impressive results on many images classification tasks. However, adversarial attacks can easily fool these deep neural networks by adding little noise to the input images. READ MORE
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4. A Low Power AI Inference Accelerator for IoT Edge Computing
University essay from Linköpings universitet/DatorteknikAbstract : This thesis investigates the possibility of porting a neural network model trained and modeled in TensorFlow to a low-power AI inference accelerator for IoT edge computing. A slightly modified LeNet-5 neural network model is presented and implemented such that an input frequency of 10 frames per second is possible while consuming 4mW of power. READ MORE
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5. A Deep Learning Application for Traffic Sign Recognition
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: Traffic Sign Recognition (TSR) is particularly useful for novice driversand self-driving cars. Driver Assistance Systems(DAS) involves automatic trafficsign recognition. Efficient classification of the traffic signs is required in DAS andunmanned vehicles for safe navigation. READ MORE
