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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