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Download Deep Belief Networks by ['Firomsa Tesfaye'] in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Deep Belief Networks
This document provides an introduction to deep belief networks (DBNs). It discusses applications of DBNs such as object recognition, image retrieval, document modeling, and document retrieval. It provides background on the development of deep neural networks and challenges training them. Restricted Boltzmann machines (RBMs) are introduced as basic building blocks of DBNs. The document explains how RBMs are trained using contrastive divergence and how multiple RBMs can be stacked to form a DBN through layer-wise unsupervised pre-training followed by supervised fine-tuning. References with links to additional resources on DBNs are also provided.
Detailed Information
| Author: | ['Firomsa Tesfaye'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 26 |
| Language: | English |
| Format: | |
| Price: | FREE |
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