Deep neural networks are machine learning systems that automatically learn a task if provided with necessary data. An artificial neural network (ANN) having numerous layers between the input and output layers is known as a deep neural network (DNN). Neural networks are made available in various shapes and sizes. However, they all include the same essential components: neurons, synapses, weights, biases, and functions. Recently, scientists have added a total of 301 validated exoplanets to the already existing exoplanet tally. The cluster of planets is the most recent addition to the 4,569 confirmed planets orbiting various faraway stars.

An additional 301 exoplanets have been confirmed, thanks to a new deep learning algorithm, NASA said. The significant addition to the ledger was made possible by the ExoMiner deep neural network, which was created using data from NASA's Kepler spacecraft and its follow-on, K2. It uses the space agency's supercomputer, Pleiades and is capable of deciphering the difference between real exoplanets and'false positives.' The newly confirmed planets, which orbit distant stars in the universe, brings the total of confirmed exoplanets to 4,870. 'Unlike other exoplanet-detecting machine learning programs, ExoMiner isn't a black box – there is no mystery as to why it decides something is a planet or not,' one of the study's authors, Jon Jenkins, exoplanet scientist at NASA's Ames Research Center in a statement.