Essays about: "Auto-Encoder"

Showing result 21 - 25 of 25 essays containing the word Auto-Encoder.

1. 21. A Framework for Generative Product Design Powered by Deep Learning and Artificial Intelligence : Applied on Everyday Products

   University essay from Linköpings universitet/Maskinkonstruktion

   Author : Alexander Nilsson; Martin Thönners; [2018]
   Keywords : Generative Design; Deep Learning; Machine Learning; Artificial Intelligence; Variational Auto Encoder; Generative Adversarial Network; VAE; GAN; Design Variations; Windows; Mullions; Framework; Windows Dataset;

   Abstract : In this master’s thesis we explore the idea of using artificial intelligence in the product design process and seek to develop a conceptual framework for how it can be incorporated to make user customized products more accessible and affordable for everyone. We show how generative deep learning models such as Variational Auto Encoders and Generative Adversarial Networks can be implemented to generate design variations of windows and clarify the general implementation process along with insights from recent research in the field. READ MORE

3. 22. Augmenting High-Dimensional Data with Deep Generative Models

   University essay from KTH/Robotik, perception och lärande, RPL

   Author : Mårten Nilsson; [2018]
   Keywords : GAN; GANs; machine learning; deep learning; generative model; generative models; deep generative model; deep generative models; generative adversarial networks; VAE; VAEs; variational autoencoder; variational autoencoders; autoencoder; auto encoder; encoder; decoder; computer vision; eye tracking; pupil localization; pupil; eyes; eye; synthetic data; big data; data generation; synthetic data generation; neural networks; neural network; high-dimensional data; high-resolution images.;

   Abstract : Data augmentation is a technique that can be performed in various ways to improve the training of discriminative models. The recent developments in deep generative models offer new ways of augmenting existing data sets. READ MORE

4. 23. Transforming Thermal Images to Visible Spectrum Images Using Deep Learning

   University essay from Linköpings universitet/Datorseende

   Author : Adam Nyberg; [2018]
   Keywords : ;

   Abstract : Thermal spectrum cameras are gaining interest in many applications due to their long wavelength which allows them to operate under low light and harsh weather conditions. One disadvantage of thermal cameras is their limited visual interpretability for humans, which limits the scope of their applications. READ MORE

5. 24. Transforming Thermal Images to Visible Spectrum Images using Deep Learning

   University essay from Linköpings universitet/Institutionen för systemteknik; Linköpings universitet/Tekniska fakulteten

   Author : Adam Nyberg; [2018]
   Keywords : ;

   Abstract : Thermal spectrum cameras are gaining interest in many applications due to their long wavelength which allows them to operate under low light and harsh weather conditions. One disadvantage of thermal cameras is their limited visual interpretability for humans, which limits the scope of their applications. READ MORE

6. 25. Detecting anomalies in robot time series data using stochastic recurrent networks

   University essay from KTH/Optimeringslära och systemteori

   Author : Maximilian Sölch; [2015]
   Keywords : ;

   Abstract : This thesis proposes a novel anomaly detection algorithm for detect-ing anomalies in high-dimensional, multimodal, real-valued time se-ries data. The approach, requiring no domain knowledge, is based on Stochastic Recurrent Networks (STORNs), a universal distribution approximator for sequential data leveraging the power of Recurrent Neural Networks (RNNs) and Variational Auto-Encoders (VAEs). READ MORE