Moving on from autoencoders, it’s time to look at the most widely used applications of Deep Learning. If you missed the previous article on autoencoders, you can find it here: https://bit.ly/3c2nxNv

Neural networks are known for their mechanism on extracting hidden patterns; patterns that cannot be distinctly observed by the human eye as well. This property of a neural network can come in handy for recognising patterns in images and classifying the object inside the image accordingly. But before we go about classifying images, let’s look at how convolution works.

The Convolution Operation:

Consider a scenario wherein we’re tracking the…

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