What Is Deep Learning?

pcmag.com:

Deep learning, an advanced artificial intelligence technique, has become increasingly popular in the past few years, thanks to abundant data and increased computing power. It's the main technology behind many of the applications we use every day, including online language translation, automated face-tagging in social media, smart replies in your email, and the new wave of generative models. While deep learning is not new, it has benefitted much from more availability of data and advances in computing.

ChatGPT, the AI-powered chatbot that has become the fastest growing app of all time(Opens in a new window), is powered by a deep-learning model that has been trained on billions of words gathered from the internet. DALL-E, Midjourney, and Stable Diffusion, AI systems that can generate images from text descriptions, are deep-learning systems that model the relation between images and text descriptions.

Deep learning is a subset of machine learning, a branch of artificial intelligence that configures computers to perform tasks through experience. Contrary to classic, rule-based AI systems, machine learning algorithms develop their behavior by processing annotated examples, a process called "training."

For instance, to create a fraud-detection program, you would train a machine-learning algorithm with a list of bank transactions and their eventual outcome (legitimate or fraudulent). The machine-learning model examines the examples and develops a statistical representation of common characteristics between legitimate and fraudulent transactions.

After that, when you provide the algorithm with the data of a new bank transaction, it will classify it as legitimate or fraudulent based on the patterns it has gleaned from the