Essays about: "GoogLeNet"
Showing result 1 - 5 of 6 essays containing the word GoogLeNet.
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1. Automating Water Orientation in Neutron Crystallography using Convolutional Neural Networks
University essay from Lunds universitet/Matematik LTHAbstract : One important aspect of determining the functionality of proteins is to find the direction of the dipole moment of surrounding water molecules. This is equivalent to finding the position of the hydrogen in water, however with the current atomistic model building tools this is a tedious and time-consuming task. READ MORE
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2. Reduction of Common Operations in a Neural Network
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Machine learning models are becoming increasingly complex, and particularly artificial neural networks. Meanwhile, solutions are moving closer towards the edge with implementations on devices such as smartphones, TVs and cameras. This creates a demand for efficient models that perform well despite restricted computational resources. READ MORE
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3. An artificial intelligence method for text placement evaluation in maps
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : A map is a combinatorial presentation of map objects and labels providing users with sufficient and useful information. Text placement is the most time-consuming and cumbersome work in a map production process, and many methods have been proposed to automate this process. READ MORE
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4. Classification of offensive game-emblem drawings using CNN (convolutional neural networks) and transfer learning
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Convolutional neural networks (CNN) has become an important tool to solve many computer vision tasks of today. The technique is though costly, and training a network from scratch requires both a large dataset and adequate hardware. A solution to these shortcomings is to instead use a pre-trained network, an approach called transfer learning. READ MORE
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5. Classifying Environmental Sounds with Image Networks
University essay from Blekinge Tekniska Högskola/Institutionen för datalogi och datorsystemteknikAbstract : Context. Environmental Sound Recognition, unlike Speech Recognition, is an area that is still in the developing stages with respect to using Deep Learning methods. Sound can be converted into images by extracting spectrograms and the like. READ MORE
