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About An Overview of Popular Deep Learning Methods PDF
This document provides an overview of popular deep learning methods, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Restricted Boltzmann Machines (RBMs), and Autoencoders. It describes how CNNs use convolutional and pooling layers to extract hierarchical features from images. Convolutional layers apply filters to input data, while pooling layers reduce the spatial size of outputs. The document also gives brief descriptions of RNNs, RBMs, and Autoencoders, and discusses how deep learning has enabled many machine learning applications.
Detailed Information
Author: | ["Oussama El B'charri"] |
---|---|
Publication Year: | 2020 |
Pages: | 12 |
Language: | English |
Format: | |
Price: | FREE |
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