Assignment $11$: RNN for Natural Language Processing

See material on page $292$ in Chapter $8$: Recurrent Neural Networks $("$Deep Learning with TensorFlow $2$ and Keras" book. RNNs have been used extensively by the Natural Language Processing $($NLP$)$ community for various applications. One such application is to build language models. A language model is a model that allows us to predict the probability of a word in a text given previous words. For our example, we will train a character based RNN on the text of the children's stories "Alice in Wonderland" and its sequel "Through the Looking Glass" by$$

Lewis Carroll. We will train the network for $50$ epochs, and at the end of every $10$ epochs, we will generate a fixed size sequence of characters starting with a standard prefix. In the following example, we have used the prefix "Alice", the name of the protagonist in our novels.$$

For the submission provide:$$

the code you used to build model.

the output after $50$ epochs.