What is Deep Learning?
Deep learning is a branch of artificial intelligence (AI) that uses neural networks to help machines better understand data and make decisions. It is one of the most popular areas of AI research, and has seen great success in a variety of applications such as computer vision, natural language processing and robotics. Unlike traditional machine learning algorithms, deep learning models are able to learn from large volumes of unstructured data, such as images and text.
Deep learning models are made up of multiple layers of artificial neurons. These layers “learn” from the data they are fed, and gradually improve their accuracy as they detect patterns in the data. This progress bears some resemblance to the way a human brain learns from experience.
The core concept behind deep learning is the ability to automatically “learn” without relying on manually labelled input data. Each layer of the neural network is able to detect subtle features or patterns from the data it is presented with. As the model gets deeper, it can represent increasingly complex abstractions of the data, allowing it to make more accurate predictions.
Typically, deep learning models are trained using extensive datasets. It is then possible to deploy them in real-world applications, such as image recognition and speech recognition.
There is also an important distinction between supervised and unsupervised learning. In supervised learning, the model is trained with labelled data, while in unsupervised learning the model is trained with unlabelled data and has to figure out how to structure it itself.
In recent years, deep learning models have become more popular and powerful due to advances in computing hardware and software. They have been used to solve many difficult problems, such as image classification, natural language processing and robotic navigation. Deep learning models are also being used to control autonomous vehicles, design drug compounds and even diagnose diseases.
Deep learning is still a relatively young field and is constantly evolving. Researchers are continuing to explore new ways of leveraging deep learning models to tackle more complex problems and unlock new opportunities for businesses and society at large.