Deep Learning By Example

Generating text

We have a trained model based on our input dataset. The next step is to use this trained model to generate text and see how this model learned the style and structure of the input data. To do this, we can start with some initial characters and then feed the new, predicted one as an input in the next step. We will repeat this process until we get a text with a specific length.

In the following code, we have also added extra statements to the function to prime the network with some initial text and start from there.

The network gives us predictions or probabilities for each character in the vocab. To reduce noise and only use the ones that the network is more confident about, we're going to only choose a new character from the ...