Deep Learning

Deep learning.

The current AI boom we are seeing and hearing about is largely based on the rapid development of deep learning. Deep learning is a subset of machine learning and this trains computers to perform more human-like tasks, such as image identification, prediction making and speech recognition.

The most obvious applications that we are all probably aware of using this is the likes of Siri and Alexa which are, to a degree powered by deep learning. Deep learning trains your computer through algorithms to identify and learn patterns, Over the years we have seen the interface between humans and machines evolve greatly, from mouse and keyboard to gestures touch and speech and all this change has come about from deep learning. Deep Learning:- Current Industry Applications Retail Deep learning is being used more and more in the retail sector and uses customer data with speech recognition and natural language processing. This gives retailers the ability to predict customer preferences and needs and cut down on needless stock. They can also assist in locating the best quality product for the lowest price. Ultimately, this helps retailers cater to their customers, cut down on wasted stock and saves retailers and customers time and money. Banking Deep learning enables banks to identify patterns in data and improve decision making. Deep learning helps banks interrogate and analyse multiple sources and can be used to set appropriate lending limits with greater confidence, all without compromising fairness. Deep learning also plays an increased role in detecting and preventing fraud and financial crime. Manufacturing One of the largest expenses in this industry is maintaining the equipment and deep learning contributes strongly to reducing or avoiding downtime of crucial resources and equipment. The manufacturing industry can save money from unplanned downtime, better product design with the overall goal of improving efficiency and product quality as well as overall employee safety. Healthcare Deep learning is used in the healthcare industry to help improve better patient care and operational efficiency. Deep learning helps health care professionals review and analyse data faster and more precisely. Electronic health records can be created faster and with fewer errors using speech-to-text with natural language processing tools. Logistics Deep learning can help the travel and logistics industry increase productivity and efficient operational planning. Using predicative software, the industry can stay ahead of scheduled truck repairs to reduce operating costs. Deep learning and AI can also track vehicles in real time, allowing logistic companies to locate and monitor the speed of their fleet in real time.