Digital Development for Music Appreciation of Information Resources Using Big Data Environment

With the continuous development of information technology and arrival era big data, music appreciation has also entered digital development. Big data essence is highlighted by comparison with traditional management processing technologies. Under different requirements, required time range different. Music an essential important part lessons, which can enrich people’s emotional experience, improve aesthetic ability, cultivate noble sentiments. Data resources will greatly facilitate management, dissemination, analysis ability lovers to appreciate music. This paper aims study in environment making more convenient intelligent. proposes intelligent recognition model based on deep neural network (DNN) model. The use DNN allows this have significant improvement over algorithm. improves improved method refers Dropout trained database tested data. results show that, same database, 114 RNN 120. PPL 98, i.e., lowest value. convergence speed faster, indicates that stronger it conducive appreciation.