Examples of deep learning implementation in our daily lives

A machine learning tool needs time for training and development. In many cases, machine learning tools learn from human inputs. And often coders train the tools by creating appropriate simulations. But the method of learning is fairly long in both cases and requires a lot of input from the developer’s end. The deployed tools are often found playing important roles in easing up multiple aspects of human lives. A failure in performing at the optimum might cost human lives. Risks cannot be taken while training a tool that is essential. This learning process full of trials, errors and calibrations is known as deep learning. With the help of deep learning, machine learning tools are affecting multiple aspects of human life and in many cases changing it entirely.

This article will evaluate the most important implementations of deep learning in our daily lives. And try to understand their effects in our day to day life.

Virtual assistants

Virtual assistants are gradually becoming reliable friends of humanity. Virtual assistants are making life easier in homes and even offices. The lights and air can be completely left under artificial supervision by deploying a virtual assistant. A virtual assistant can help in managing households, work and accounts in offices, even kitchens. Unlike human assistants, the virtual ones do not display the tiniest hint of committing errors.

Google Home and Alexa are the two most prominent virtual assistants deployed in offices and households across the world. These assistants can act with complete independence concerning day to day tasks, reminders and even assuring the security of the household.

Automated cars

Tesla is the world leader in the field of automated transport. The Tesla automated cars are known to be able to perform unsupervised learning. These cars learn from human inputs, figure out the errors and eliminate them from the daily diet of training.

If coupled with a capable navigation system, these cars can perform really well and are proven safer than human drivers. The next step perhaps is deploying fleets of automated vehicles for purposes like making deliveries or maybe acting as ambulances. The advantage of these fleets will be their readiness and ability to work round the clock. Automated delivery and transport fleets can sound far fetched but the possibility is highly in favour. If the tech manages to emerge at such a capacity, it can change the scene completely.

Services and chatbots

Conducting similar troubleshoots throughout the day is a mundane affair, prone to a lot of errors. A virtual chatbot can replace a human being in the case of solving these problems. And can greatly affect a company’s expenditure. In terms of performance, a virtual assistant can outperform a human attendant concerning the speed and accuracy it possesses.

Virtual assistants have become so prominent that many real-life services are deploying them without any hassle. From taxi services to food delivery operations everything is becoming automated thanks to the emergence of deep learning.

Grievance redressal is one more aspect where chatbots and deep learning technology is excelling. The problems are pointed out with relative ease and speed and the solution paradigms are automatically deployed without and human help or temporal contribution.

Shopping & entertainment

Shopping experiences have become a truly hassle-free affair. Thanks to big data analytics and adept data scientists of our times, advertisements are being shown to only the most relevant people who will most likely buy the product.

In the case of entertainment, the industry is far more adept than before in identifying the potential audience for certain kinds of products. Businesses on the other hand are being benefited greatly. Due to the presence of deep learning, the marketing and sales campaigns have become a lot more optimized. The expenditure is thankfully low and profit is higher than usual. As the relevant people only are getting to see the ads and making fast purchases.


Author’s words

It is true that automation can change lives for the better and make things a lot easier for an average human being. But behind the glorious marvels of deep learning, there hides melancholy. Outsourcing human jobs to automated tools will only worsen the situation for an average job seeker. During these times of turmoil, we are becoming increasingly dependent on benedictions yielded by deep learning. But the job losses it is causing might soon hit us hard. It is wise to indulge in deep learning courses and become adept with the tech so that a job loss can never become an imminent threat.

News Reporter