How to answer problems related to the application of Convolutional Neural Network for Computer Vision. 1. Applications, challenges and opportunities of convolutional neural network in computer vision? 2. Examples of popular applications in the application of convolutional neural network for computer vision? 3. What are the ethical and social implications of using AI/CNN for computer vision? 4. What are the applications of computer vision in industry, business, education and government?

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How to answer problems related to the application of Convolutional Neural Network for Computer Vision.
1. Applications, challenges and opportunities of convolutional neural network in computer vision?
2. Examples of popular applications in the application of convolutional neural network for computer vision?
3. What are the ethical and social implications of using AI/CNN for computer vision?
4. What are the applications of computer vision in industry, business, education and government?

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Step 1: Defining Convolutional Neural Network

A Convolutional Neural Network (CNN) is an intricately designed deep learning model tailored for the scrutiny of visual data. It comprises myriad strata of interlinked neurons that execute convolution operations, entailing the application of filters to input images with the intent of extracting discerning attributes. These attributes are subsequently relayed through pooling strata and fully connected strata to discern and formulate prognostications regarding the input data. CNNs have manifestly demonstrated their remarkable efficacy in endeavors encompassing image recognition, object detection, and image segmentation.

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