Text Generation with LSTM in PyTorch
Recurrent neural network can be used for time series prediction. In which, a regression neural network is created. It can also be used as generative model, which usually is a classification neural network model. A generative model is to learn certain pattern from data, such that when it is presented with some prompt, it can create a complete output that in the same style as the learned pattern.
In this post, you will discover how to build a generative model for text using LSTM recurrent neural networks in PyTorch. After finishing this post, you will know:
- Where to download a free corpus of text that you can use to train text generative models
- How to frame the problem of