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u Signature Verification: The verification of signature is an important application of CNNs. In the banking and
financial industry, the recognition of personal signature becomes an extra validating and verifying layer.
The process of verifying a signature is commonly resembled with face recognition technique because a
signature contains unique features that make it distinct from the others.

u Image Tagging: Image Tagging algorithms are the most basic
type of image classification which is being performed by the
CNNs. The image tag is a word or a word combination that
describes the images and makes it easier to find. Google,
Facebook, and Amazon are already using this technique. It is
also one of the foundation elements of visual search. Tagging
includes recognition of objects and even sentiment analysis of
the picture tone.

u Drone Industry: Nowadays, drones have been an excellent tool for mapping regions from an aerial perspective
and executing human activities in conditions that are either too dangerous or difficult. Convolution neural
networks are often used in the field of drone surveillance to recognise and analyse images.

DEPLOYING A CNN
CNNs are a driving force for a new age of machine learning that enables both researchers and industries to
rethink their approach in interpreting the world around them. CNNs are one of the most commonly used neural
networks for performing high scale, data intensive tasks like identification, classification, and automation. Let us
understand the procedure of deploying a CNN. The image given below depicts the block diagram of a CNN based
model.

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