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Download UNIT-4 Foundations of Deep Learning by ['bhavana'] in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About UNIT-4 Foundations of Deep Learning
The document provides an overview of Convolutional Neural Networks (CNNs). It discusses the basic CNN architecture which includes an input layer, hidden convolutional and pooling layers, and an output fully connected layer. The convolutional layer applies filters to input images to extract features, while the pooling layer downsamples representations. Examples of popular CNN models like LeNet, ResNet and AlexNet are also mentioned. The document outlines the applications of CNNs in areas like computer vision and natural language processing. It provides details on concepts like filters, padding, stride, activation functions and the role of fully connected layers in classification.
Detailed Information
| Author: | ['bhavana'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 43 |
| Language: | English |
| Format: | |
| Price: | FREE |
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