Deep learning is a type of machine learning that uses neural networks to model and understand complex patterns in large sets of data. Neural networks work like a simplified version of the human brain to process and learn from a given dataset. Deep learning is extremely effective when it comes to tasks like image and speech recognition, language processing, and creating and executing automated systems.
Deep learning is also reliant on its layers, which take in and understand the raw data while working to transform the data into something the neural networks can understand. The model learns by using more data over time to become more intelligent and accurate. Deep learning models are used for facial recognition, translating languages, and helping self-driving cars see and understand the road among other uses.