Essays about: "TensorFlow"

Showing result 1 - 5 of 60 essays containing the word TensorFlow.

  1. 1. Combined CALPHAD and Machine Learning for Property Modelling

    University essay from KTH/Materialvetenskap

    Author : Kyle Paulus; [2020]
    Keywords : ;

    Abstract : Techniques to improve the speed at which materials are researched and developed has been conducted by investigating the machine learning methodology. These techniques offer solutions to connect the length scales of material prop- erties from atomistic and chemical features using materials databases generated from collected data. READ MORE

  2. 2. How can machine learning help identify cheating behaviours in physical activity-based mobile applications?

    University essay from Malmö universitet/Teknik och samhälle

    Author : Elina Kock; Yamma Sarwari; [2020]
    Keywords : machine learning; human activity recognition; HAR; smartphone; mobile games; cheating;

    Abstract : Den här studien undersöker möjligheten att använda sig utav Human Activity Recognition (HAR) i ett mobilspel, Bamblup, som använder sig utav fysiska rörelser för att upptäcka om en spelare fuskar eller om denne verkligen utför den verkliga aktiviteten. Sensordata från en accelerometer och ett gyroskop i en iPhone 7 användes för att samla data från olika människor som utförde ett antal aktiviteter utav intresse. READ MORE

  3. 3. A Deep Neural Network Approach for Intersection Testing of Two 3D Meshes

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap; Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Gustav Björk; Alexander Wester; [2020]
    Keywords : Artificial Intelligence; Collision detection; Separating Axis Theorem; Machine learning; Real-time performance; Artificiell intelligens; Kollisionsdetektering; Separating Axis Theorem; Maskininlärning; Realtidsprestanda;

    Abstract : Background. Neural Networks have mainly been used in behavior and gameplayrelated areas in games, but they have not yet been used specifically for intersection testing. This thesis explores the possibility to use deep neural networks for intersection testing of two 3D meshes. Objectives. READ MORE

  4. 4. Generating Synthetic Schematics with Generative Adversarial Networks

    University essay from Högskolan Kristianstad/Fakulteten för naturvetenskap

    Author : John Daley Jr; [2020]
    Keywords : Synthetic data; generative adversarial network; machine learning; convolutional neural network; python; tensorflow; blueprints; Pix2Pix;

    Abstract : This study investigates synthetic schematic generation using conditional generative adversarial networks, specifically the Pix2Pix algorithm was implemented for the experimental phase of the study. With the increase in deep neural network’s capabilities and availability, there is a demand for verbose datasets. READ MORE

  5. 5. Neural Network Regularization for Generalized Heart Arrhythmia Classification

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap; Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Oliver Glandberger; Daniel Fredriksson; [2020]
    Keywords : Arrhythmia; Classification; Regularization; Scaleogram; TensorFlow; Arytmi; Klassificering; Regularisering; Spektrogram; TensorFlow;

    Abstract : Background: Arrhythmias are a collection of heart conditions that affect almost half of the world’s population and accounted for roughly 32.1% of all deaths in 2015. More importantly, early detection of arrhythmia through electrocardiogram analysis can prevent up to 90% of deaths. READ MORE