CheatSheet: Convolutional Neural Network (CNN)

AIM Media HouseContributor

Published 2020-10-22T05:30:00.000+05:30Updated 2024-12-31T05:30:00.000+05:30

Key takeaways

Convolutional Neural Networks, also known as ConvNets, are a type of deep learning algorithm focused on image processing.
CNNs utilise various kernels to create feature maps, allowing for the distinction between different objects in images.
The algorithm is commonly applied in image classification and segmentation tasks, demonstrating its versatility in computer vision.

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It is also termed as ConvNet that is a Deep learning algorithm that inputs an image, draws different feature maps using different kernels that allocates learnable weights to different objects in the image so as to differentiate from one another. The algorithm is widely used for various Image related tasks like classification, segmentation etc. Let us understand more about it.

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