Artificial neural networks are the automated structures motivated by the biological sensory web chains that create an animal mind. The given systems find out to perform tasks, checking the patterns, with no specialized programming.
The deep neural network is a subgroup of the artificial sensory web chains with various layers at the beginning(input)and the end (output).
This type of neural networks marks the proper mathematical guidance to convert the input into the output. The network alerts its position by means of crossing through the layers. Deep neural networks may compose the complicated non-linear connections. In most situations, they usually direct the networks, where the data is transferred between the layers without feedbacks.
Repetitive neural networks are the set of the connections, where the material is transferred in any direction, are typically applied for the language planning.