Language Recognition from Handwriting Based on Machine Learning and Deep Learning

Abstract

In order to develop the understandings of the machinery mind, there has been a lot of upfold in the development of machine learning. As humans, we learn how to do a task by learning it, and optimize the tasks by learning from the mistakes in the process. Just like the brain’s neurons automatically trigger and quickly perform learnt tasks, machines can comprehend to the situations of strengthening developed neurons. Deep learning is just as interesting as the human brain’s concept. Usage of different types of architectures for such neural networks collide for different types of problems, like image and sound classification, object recognition, image segmentation, object detection, etc. Following these layers of different commemorations and accuracy that Artificial Intelligence provides, one can come up with answers to many unresolved issues, problems, and tasks, since machine is now with the capability of approaching the task as if it is of a human’s approach, but with the ability to drive through the task with the machine’s work function. The fact that Machine Learning and Deep Learning had taken the industry up by storm is the very reason for its unending usages in this field. The very fabrics of precision and balance that a task completed under the machine’s supervision is where we can entrust tasks that can bring a change for many lives with challenges, ailments and difficulties