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Download SDS Deep Learning For Spatial Application by ['MIKATAgung Jalaludin'] in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About SDS Deep Learning For Spatial Application
This document provides an overview of deep learning and mathematical modeling techniques. It begins with an introduction to artificial intelligence concepts like computer vision, natural language processing, and machine learning algorithms such as random forests, logistic regression, and support vector machines. It then discusses mathematical modeling, including developing computational algorithms, performing test calculations, and communicating results. The remainder of the document focuses on neural networks, including a history of the field beginning in the 1940s, early neuron models like McCulloch-Pitt neurons, the development of backpropagation, and types of learning like supervised and unsupervised learning. It also discusses deep learning and why it is useful for learning representations from large amounts of data.
Detailed Information
| Author: | ['MIKATAgung Jalaludin'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 47 |
| Language: | English |
| Format: | |
| Price: | FREE |
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