Building a Pronunciation System (tPronounce) using a TensorFlow LSTM-based seq2seq (sequence-to-sequence) model is a complex but exciting task. The goal is to design a model that takes a sequence of ...

Long Short-Term Memory (LSTM) based neural networks have played an important role in the field of Natural Language Processing. In addition, they have been used widely for sequence modeling. The reason ...

Through training on historical load data, the model learns the timing characteristics of power demand in order to achieve more accurate predictions. The research results show that the accuracy rate of ...