Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 44 for “"Tensorflow"”.
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Solar panel damage identification using tensorflow lite
… is to use drones to capture aerial photos and TensorFlow-Lite and Keras deep learning methods to determine if a panel has defects, such as debris, cracked panels, and hotspots. The model features an execution time of 0.185 seconds per picture. In addition, the model will run on an embedded …
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Open-source high-level synthesis of tensorflow dataflow graphs using LegUp
A flow is presented for synthesizing Tensorflow computation graphs into FPGA accelerators using the open-source high-level synthesis (HLS) tool LegUp. The Tensorflow computation graph is represented translated from an intermediate representation in Tensorflow's Accelerated Linear Algebra (XLA) …
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Önvezető autók mélytanuláson alapuló vezérlése mobiltelefonon
… az Androidos alkalmazásfejlesztéssel,a TensorFlow-val és tovább mélyíthettem a Linux ismereteimet is.
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Graph Metrics for Improving Cybersecurity on Software Dependency Networks
… two deep learning frameworks (PyTorch and TensorFlow) with two traditional software frameworks (npm and PyPI), identifying critical properties of their dependency structures, which motivates several recommendations for improving software supply chain security.
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Generativní neuronová síť pro tvorbu syntetických fotorealistických obrazů
… pomocí aplikačních programovacích rozhraní Tensorflow a v něm obsaženém rozhraní Keras. Model je natrénován na vybrané datové sadě a jsou zobrazeny výsledné vygenerované snímky. Finální model a jednotlivé snímky jsou nakonec vyhodnoceny pomocí různých metod hodnocení kvality.
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Computer Vision with Machine Learning on Smartphones for Beauty Applications.
… area of research, as evidenced by Google’s TensorFlow Lite platform and Apple’s CoreML API and Neural Engine-accelerated iOS devices. The overarching goal of the projects carried out in this thesis is to adapt existing desktop computer-oriented computer vision techniques to smartphones, by …
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Machine learning workflow optimization via automatic discovery of resource reuse opportunities
… into popular deep learning frameworks such as TensorFlow, with nearly zero code changes required on the part of users in order to adapt our optimizations to their programs. Experiments show that our algorithm achieves 1.35× speedup on a sentiment classification task trained with the popular …
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Applying Neural Networks for Tire Pressure Monitoring Systems
… neural network (CNN) developed in Python with Tensorflow. Bayesian Optimization via SigOpt was used to optimize training and model parameters. The predictive accuracy and training speed of the two models with various parameters are compared. Finally, future work and improvements are …
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Detekce anatomických struktur v CT datech s využitím konvolučních neuronových sítí
… programovacím jazyce Python s využitím knihovny TensorFlow. Získané výsledky validace sítě a výsledky detekce jsou uvedeny a diskutovány v poslední kapitole.
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TensorRT inference performance study in MLModelScope
… well-known deep learning frameworks such as TensorFlow. This thesis presents such a study that consists of experiments using TensorRT on MLModelScope, a deep learning inference platform that enables standardized inference and multi-level profiling.
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Malware Image Classification using Machine Learning with Local Binary Pattern
… or texture classification. Finally,</p> <p>Tensorflow, a library for machine learning, is applied to classify</p> <p>malware images with the LBP feature. Performance comparison</p> <p>results among different classifiers with different image descriptors</p> <p>such as GIST, a spatial …
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TONGS: TLDR; Opinion Network Guide System
… analysis. TONGS uses Word2Vec within the TensorFlow library to convert words into vector space representations. The TONGS library contains four different methods built upon previous research in sentiment analysis and Word2Vec. We further experiment and analyze these methods using the IMDB …
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Insurance recommendation engine using a combined collaborative filtering and neural network approach
… new users. Both methods were deployed using the Tensorflow machine learning framework. The hybrid approach helps solve for cold start problems where users have no interaction history. The accuracy on the collaborative filtering produced 0.13 root mean square error based on implicit feedback …
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Software Requirements Classification Using Word Embeddings and Convolutional Neural Networks
… With the support of learning libraries such as TensorFlow and Scikit-Learn and word embedding models such as word2vec and fastText, we build a Python system that trains and validates configurations of Naïve Bayes and CNN requirements classifiers. Applying our system to a suite of experiments on …
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Weld : fast data-parallel computation on modern hardware
… microbenchmarks and real-word applications like TensorFlow have excellent multicore performance when ported to run on Weld.
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Multi-scale local explanation approach for image analysis using model-agnostic explainable artificial intelligence (XAI)
… multi-scale scheme on Flower Dataset from TensorFlow and a biological dataset, Camelyon 16. The results prove that the explanations are faithful to the underlying model, and our visualizations are reasonably interpretable.
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Mathematical Connections between Convolutional Neural Networks and the Scattering Transformation
… dataset and a publicly available dataset from TensorFlow (datasets.bee_dataset). Results include similar (though at times decreased) accuracy but improved stability compared to that of two Keras Conv2D and MaxPooling2D layers.
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Control of Grid-Connected Converters using Deep Learning
… model is built and trained using the Keras and TensorFlow libraries in Python and tested in Simulink. The performance of the LSTM-based controller is evaluated under different case studies and compared to the conventional method of control. Simulation results demonstrate the effectiveness of …
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Topic-Based Video Classification and Retrieval Using Machine Learning
… a video application using both Apache Spark and TensorFlow, and then we evaluated different machine learning algorithms and validation techniques using Wikipedia, Flickr30K, and YouTube8M datasets.
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Natural Language Financial Forecasting: The South African Context
… were trained, optimized and deployed using the Tensorflow Machine Learning (ML) framework on Google Cloud AI Platform. The comparison between the performance results of the models shows that both DNN and LR have potential operational capabilites to use information dissemination as a means to …
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