Essays about: "Computer networks thesis"
Showing result 1 - 5 of 222 essays containing the words Computer networks thesis.
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1. Data Segmentation Using NLP: Gender and Age
University essay from Uppsala universitet/Avdelningen för datalogi; Uppsala universitet/Avdelningen för datalogiAbstract : Natural language processing (NLP) opens the possibilities for a computer to read, decipher, and interpret human languages to eventually use it in ways that enable yet further understanding of the interaction and communication between the human and the computer. When appropriate data is available, NLP makes it possible to determine not only the sentiment information of a text but also information about the author behind an online post. READ MORE
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2. Unsupervised 3D Human Pose Estimation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The thesis proposes an unsupervised representation learning method to predict 3D human pose from a 2D skeleton via a VAEGAN (Variational Autoencoder Generative Adversarial Network) hybrid network. The method learns to lift poses from 2D to 3D using selfsupervision and adversarial learning techniques. READ MORE
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3. Ensembles of Single Image Super-Resolution Generative Adversarial Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Generative Adversarial Networks have been used to obtain state-of-the-art results for low-level computer vision tasks like single image super-resolution, however, they are notoriously difficult to train due to the instability related to the competing minimax framework. Additionally, traditional ensembling mechanisms cannot be effectively applied with these types of networks due to the resources they require at inference time and the complexity of their architectures. READ MORE
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4. Detecting Faulty Piles of Wood using Anomaly Detection Techniques
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : The forestry and the sawmill industry have a lot of incoming and outgoing piles of wood. It's important to maintain quality and efficiency. This motivates an examination of whether machine learning- or more specifically, anomaly detection techniques can be implemented and used to detect faulty shipments. READ MORE
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5. 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
