Some Facts About Deep Learning and its Current Advancements

The advancement in technology has been such that we are able to code machines to perform tasks that normally requires human intelligence such as speech recognition, decision making, sound recognition, visual perception, language translation. Deep learning is a subset of Machine Learning which makes use of deep artificial neural networks, in which the system learns to perform various tasks by propagating through the neural network architecture. Deep neural networks are able to process enormous datasets to make significantly accurate predictions. Deep learning models are very versatile. Different kinds of neural networks can be combined to suit the needs of a given problem.