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The feature extraction module uses a CNN to extract features from images. The CNN architecture typically consists of several convolutional and pooling layers, followed by fully connected layers. The output of the CNN is a high-dimensional feature vector that represents the image.
IMGSRU (Image Search and Retrieval Using Deep Learning) is a system that utilizes deep learning techniques to retrieve images from a large database based on their visual features. Here's an overview of how it works:
You're referring to IMGSRU, a deep learning-based image retrieval system!
The feature extraction module uses a CNN to extract features from images. The CNN architecture typically consists of several convolutional and pooling layers, followed by fully connected layers. The output of the CNN is a high-dimensional feature vector that represents the image.
IMGSRU (Image Search and Retrieval Using Deep Learning) is a system that utilizes deep learning techniques to retrieve images from a large database based on their visual features. Here's an overview of how it works:
You're referring to IMGSRU, a deep learning-based image retrieval system!
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