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Download Deep Learning Project Report: June 2016 by ['Bandarapu shirisha'] in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Deep Learning Project Report: June 2016
This document describes a deep learning project report that used two datasets (birds and bottles) to train and test a model for recognizing objects in tiny images. The model pipeline included feature extraction using HOG and wavelets, feature quantization and fusion, training an autoencoder, and using logistic regression for classification. Testing accuracy was highest at 21.4% when combining HOG and wavelet features, compared to 16.2% for HOG alone and 17.55% for wavelets alone. The report concludes that feature fusion performed better than individual features for object recognition with tiny images.
Detailed Information
| Author: | ['Bandarapu shirisha'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 4 |
| Language: | English |
| Format: | |
| Price: | FREE |
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