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CNN Modeling for Image Captioning by Krusha Joshi is a document available to read on EtoBox.
What is CNN Modeling for Image Captioning about?
This document discusses convolutional neural networks (CNNs) for feature abstraction in image processing. It describes the basic architecture of a CNN model including convolution, non-linearity, pooling and fully connected layers. Convolution layers extract features from input images using learnable filters. Pooling layers reduce the spatial size of representations. The document outlines advantages of CNNs like hierarchical feature extraction and discusses applications in speech recognition, object tracking
- Author
- Krusha Joshi
- Language
- EN