Deep learning is a subset of machine learning that uses algorithms inspired by the structure and function of the human brain. Traditional machine learning algorithms are typically used for supervised learning, where the algorithm is given labeled data to learn from. Deep learning algorithms, on the other hand, are used for unsupervised learning, where the algorithm is given unlabeled data to learn from.
For example, a traditional machine learning algorithm might be used to identify if an image contains an animal. The algorithm would be given labeled data, such as images of cats and dogs, and it would learn to identify animals in new images.
A deep learning algorithm, on the other hand, might be used to identify objects in an image. The algorithm would be given unlabeled data, such as images of various objects, and it would learn to identify objects in new images without being given labels.