Essays about: "Computer Networks programming"
Showing result 1 - 5 of 12 essays containing the words Computer Networks programming.
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1. FPGA implementation of an sEMG classifier
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : This master’s thesis discusses the implementation of a convolutional neural network on a Field Programmable Gate Array (FPGA). It deals with implementation be describing a tool chain, starting with the designing of a model in Keras, transforming the model to Hardware Descriptive Language, and finally implementing it on an FPGA. READ MORE
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2. Symbolic Regression using Genetic Programming Leveraging Neural Information Processing
University essay from Lunds universitet/Matematik LTHAbstract : Regression analysis conducted with traditional mathematical methods can be sub-optimal if the exact model of the observed data is unknown. Evolutionary computing (EC) and deep learning (DL) are viable alternatives, since regression performed with these methods tends to be less dependent on a particular model. READ MORE
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3. 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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4. Email Classification : An evaluation of Deep Neural Networks with Naive Bayes
University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologiAbstract : Machine learning (ML) is an area of computer science that gives computers the ability to learn data patterns without prior programming for those patterns. Using neural networks in this area is based on simulating the biological functions of neurons in brains to learn patterns in data, giving computers a predictive ability to comprehend how data can be clustered. READ MORE
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5. Detection of Archaeological Sites from Aerial Imagery using Deep Learning
University essay from Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisationAbstract : In recent years, Deep Learning has proven to be an outstanding tool in the field of computer vision showing promising results in different fields such as the analysis of medical images, obstacle detection for self-driving cars, automatic image caption generation, etc. In the case of Archaeology, the adoption of these methods in the detection of archaeological structures from aerial images has been slower than in other fields. READ MORE
