What is dl?

DL or Deep Learning is a subset of Machine Learning in Artificial Intelligence. It involves the development of artificial neural networks that enable machines to learn from vast amounts of data. DL algorithms use multiple layers of artificial neural networks to extract and transform features from raw data, thus developing high-level abstractions to make decisions or predictions.

DL is used in various applications, including image and speech recognition, natural language processing, recommendation systems, and autonomous vehicles. It requires a huge amount of data for training and computation power, which is achieved using powerful graphics processing units (GPUs).

Some popular DL frameworks include TensorFlow, PyTorch, and Keras. DL is an emerging field of study and research, and it has the potential to revolutionize the way we interact with technology in the future.