Can life become like a science fiction movie, where the lazy humans will be naturally selected for survival? Unfortunately, there is a possibility. The machines we built and perfected for years are becoming more and more self-supervised. Maybe shortly, they will become aware of the best interests of humankind.
However, perplexion is not the ability, but how quickly they are gaining the state of self-supervision. Another instance is the journey from writing to printing. Which took about 10,000 years, and in another five hundred years, the first emails were sent. Similarly, maybe in the next few years, automated cars will destroy the livelihood of thousands if not millions of professional drivers. Given the uncertainty of the situation, it is really not clear what to expect. It is wise to prepare to embrace sudden big changes that might reshape the fundamental ideas of human life on earth.
One of the predicted changes is a revolution in deep learning and artificial intelligence. Like many other revolutions in history, this one started with small little steps as well. And this article will concentrate on a few efficient applications of deep learning, which can be considered small steps towards a bigger goal.
Difference between deep learning and machine learning
Machine learning, as the name suggests, Is based on the training of machine learning models. After the initial stages, these models can perform given tasks without human supervision. But the decision making authority remains with humans. But in the case of deep learning, the mechanism is a bit more complex. In the design, the human brain is mimicked in terms of the organization of neural networks. Like the human brain, deep learning models use layered neural networks for the utilization of data. The deep learning models can think artificially with the help of data. Unlike machine learning tools, deep learning models are not entirely “tools” as they can think independently with the help of information.
Hence, the predicted revolution in deep learning and artificial intelligence is fueled by the huge amounts of data we generate every day.
The practical, real-life applications of deep learning
The increasing amount of questions and troubleshoot requirements a business faces every day is impossible to address by human effort. The wise businesses, however, use Chatbots. Though at this stage of development, the bots are not as satisfying as a human executive, they are a cheaper liability and easy to maintain.
Facial recognition is a perfect example of a practical application of deep learning. From biometry to crime-fighting, image recognition is becoming essential by the day.
Due to artificially intelligent translators, language barriers can no longer inhibit the sharing of knowledge and thoughts.
Virtual assistants have become mainstream, and this deep learning model learns from private data. Abd, the goal of these virtual assistants is to learn about the user as much as possible to provide personalized services.
Honorary mentions
- Precision medicine
- Image colorization
- Automated cars
- Personalized marketing and entertainment
Given these advancements, the bored and interested professionals are recommended to enroll in Bangalore’s best data science institute for ensured sustenance. As among all the other Indian cities, Bangalore hosts the most opportunities in startups and tech industries.
