It is a subset of machine learning where artificial neural networks, algorithms inspired by the human brain, learn from large amounts of data. Deep learning allows machines to solve complex problems even when using a data set that is very diverse, unstructured and inter-connected.
Deep learning is an AI function that mimics the workings of the human brain in processing data for use in detecting objects, recognizing speech, translating languages, and making decisions. Deep learning AI is able to learn without human supervision, drawing from data that is both unstructured and unlabeled.
Top 10 Deep Learning models in utility-
Convolutional Neural Networks (CNNs) Long Short Term Memory Networks (LSTMs) Recurrent Neural Networks (RNNs) Generative Adversarial Networks (GANs) Radial Basis Function Networks (RBFNs) Multilayer Perceptrons (MLPs) Self Organizing Maps (SOMs) Deep Belief Networks (DBNs) Restricted Boltzmann Machines( RBMs) Autoencoders