A Review of Internet of Medical of Things

Abstract

Deep learning is a set of algorithms inspired by the structure and function of the brain and helps to recognize complex relationships. It is a subset of machine learning algorithms, which uses multiple layers of neural networks with many nodes. They can solve complex problems with high accuracy, such as facial recognition, natural language processing and machine translation. The networks developed with deep learning in machine have enabled computers to identify objects and understand their context, allowing them to perform sophisticated tasks like computer vision. Deep learning is a type of artificial intelligence that is based on the concept of replicating the behavior of the human brain. In deep learning, large networks of "neurons" are used to parse data and analyze patterns, just like our brains do. This allows computers to learn patterns and make decisions in much the same way humans do. Deep learning models have proved to be extremely successful in many complex tasks, such as natural language processing, computer vision, and even in detecting cyber security threats.