I have followed the tutorial here about language modelling using Tensorflow to create LSTM and used PTB dataset. The code is hereI failed to understnad the exact specific input and the output of the model. My question is: how many words do you feed to the model and how many words do you expect at the end? How the data processing happens?For example: if I have the sentence The quick brown fox jumps over the lazy dog.. This will be turned into vectors using word2vec. Then how are these given to the NN?
In plain English, how to descibe i/o of the TensorFlow for language modelling?
deep learning;tensorflow;language model