Auto encoders are type of neural networks that attempts to mimic its input as closely as possible to its output. It is used to learn data representation in an unsupervised manner by taking an input and transforming it into a reduced representation called code or embedding. Then, this code or…

To be able to understand and work with an image we need to break it down into its constituent features. An image feature is a simple image pattern, based on which we can describe what we can see on the image.

The main of role of features in computer vision…

Khushilyadav

computer Vision and Deep Learning Enthusiast

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