In Deep Learning, the machine is trained with huge amounts of data which helps it in training itself around the data.
Explanation:-
Deep learning is a type of machine learning and artificial intelligence (AI) that imitates the way humans gain certain types of knowledge.
Deep learning is an important element of data science, which includes statistics and predictive modeling.
Deep learning utilizes both structured and unstructured data for training.
Deep Learning have very complex algorithms and require very large amount of dataset.
Deep learning is based on ML but it can work with unstructured data and learns on its own through reading the data, so it requires large amount of datasets called Big Data which is drawn from sources like social media, internet search engines, e-commerce platforms , etc.
Study more about Deep Learning at Deep Learning Class 10