Deep Learning
Deep learning is a subfield of machine learning that focuses on developing algorithms capable of learning and making decisions independently based on large amounts of data. It is considered one of the most important developments in artificial intelligence and has led to impressive results in speech recognition, image recognition and natural language processing.
How does deep learning work?
Deep learning is a technique within machine learning that uses artificial neural networks. These networks consist of several layers of artificial neurons that are interconnected. Each of these neurons performs a simple calculation on the input it receives and then passes an output to the next layer. By combining these layers of neurons and training them with large amounts of data, these neural networks can learn to recognize complex patterns in the data. For example, they can recognize objects in images, convert speech into text or diagnose from medical data.
What is special about deep learning is that it is able to independently learn features and representations needed to perform a given task. This makes deep learning very suitable for tasks where it is difficult to define the relevant features manually.