Understanding Convolutional Neural Networks (CNNs) in Deep Learning
Convolutional Neural Networks (CNNs) are a type of deep learning model primarily used for image processing and recognition tasks. This overview explains their structure and applications.
Computing For All
380 views • Nov 11, 2023
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Convolutional Neural Networks, or CNNs.
Convolutional Neural Networks, or CNNs are a type of deep learning model primarily used for image processing. They work by mimicking how the human eye perceives things. Using layers of filters, they scan images for patterns like edges, textures, and shapes. Each layer focuses on increasingly complex features, helping the network 'understand' and interpret images, from simple lines to detailed objects.
So, CNNs are the AI eyes in things like facial recognition, medical image analysis, self-driving cars, and even systems that surveil things!
Dr. Shahriar Hossain
https://computing4all.com
Convolutional Neural Networks, or CNNs are a type of deep learning model primarily used for image processing. They work by mimicking how the human eye perceives things. Using layers of filters, they scan images for patterns like edges, textures, and shapes. Each layer focuses on increasingly complex features, helping the network 'understand' and interpret images, from simple lines to detailed objects.
So, CNNs are the AI eyes in things like facial recognition, medical image analysis, self-driving cars, and even systems that surveil things!
Dr. Shahriar Hossain
https://computing4all.com
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Views
380
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12
Duration
0:36
Published
Nov 11, 2023