Sökning: "Amund Hansen Vedal"
Hittade 2 uppsatser innehållade orden Amund Hansen Vedal.
1. Unsupervised Audio Spectrogram Compression using Vector Quantized Autoencoders
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Despite the recent successes of neural networks in a variety of domains, musical audio modeling is still considered a hard task, with features typically spanning tens of thousands of dimensions in input space. By formulating audio data compression as an unsupervised learning task, this project investigates the applicability of vector quantized neural network autoencoders for compressing spectrograms – image-like representations of audio. LÄS MER
2. Comparing performance of convolutional neural network models on a novel car classification task
Kandidat-uppsats, KTH/Medieteknik och interaktionsdesign, MIDSammanfattning : Recent neural network advances have lead to models that can be used for a variety of image classification tasks, useful for many of today’s media technology applications. In this paper, I train hallmark neural network architectures on a newly collected vehicle image dataset to do both coarse- and fine-grained classification of vehicle type. LÄS MER