Multimedia generation using neural network DeepDream

The field of machine learning and artificial intelligence is growing rapidly. The deep neural network is a field of ML which is showing greater possibility. The deep neural network has been widely acknowledged as being in a golden age and advancing with the advent of new technologies. It is slowly becoming the leader of the technological world in artificial intelligence. The models which are built by machine learning algorithms with great accuracy help in every sector of human evolution. Image and audio processing is done through many algorithms to intensify its behavioral pattern. The development of modern art is largely dependent on the painters who are developing the style. The Deep Dream algorithm can also do the artistic creation of the image and audio. The deep dream algorithm which googles engineer Alexander Mordvintsevin built in the year 2015. It enhances the patterns in the multimedia through algorithmic pareidolia. It creates a dream-like effect. It gives a new vision of hallucinations to images. This could be used in the health sector for the purpose of detecting diseases and defects through scans of the patients. It is redefining lower-definition multimedia to higher-definition multimedia. Previous model were able to only generate one of the multimedia format. Proposed system will be able to create multimedia based on DeepDream and link different formats together so that they appear to be generated together.