Understanding deep learning: a guide for IT professionals #deeplearning

Machine learning encompasses various methods, with deep learning being a prominent type of artificial intelligence technology. Deep learning utilizes layered algorithms to train AI, with applications in voice recognition and natural language processing. The goal of deep learning is to enable AI to make decisions independently based on data. Models are trained using vast amounts of data, inspired by human biology and neural networks. Deep learning can be supervised or unsupervised, with supervised learning involving labeled data and unsupervised learning using unlabeled data to recognize patterns. Examples of deep learning applications include self-driving cars, defense, and aerospace industries. While deep learning has limitations, it has potential in areas like conversational AI and pattern recognition. The future of deep learning holds promise in fields like medicine and cosmology, with research showing its potential in interpreting medical images and studying dark matter. With significant investment in AI research, particularly in deep learning, its impact on society is expected to continue growing.

Source link

Source link: https://www.itpro.com/neural-network/30250/what-is-deep-learning