Download SCSA3015 Deep Learning Unit 3 PDF Free - Full Version
Download SCSA3015 Deep Learning Unit 3 by ['pooja vikirthini'] in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About SCSA3015 Deep Learning Unit 3
The document discusses dimensionality reduction techniques for machine learning. It describes the components of dimensionality reduction as feature selection and feature extraction. Popular linear dimensionality reduction methods mentioned are Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA). Autoencoders, a type of artificial neural network, are also covered as they can perform dimensionality reduction by learning a compressed latent space representation of the input data. The document provides details on PCA, LDA, manifold learning, and autoencoders for dimensionality reduction.
Detailed Information
| Author: | ['pooja vikirthini'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 23 |
| Language: | English |
| Format: | |
| Price: | FREE |
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