RNN module

Defines a nn.Module from pytorch where we define the architecture for the Recurrent Neural Network used for the Recommedation System.

The archicture consititutes of Embedding Layer of size 64 * size of input words. This is followed by an LSTM layer of 64(embedding size) * 64(lstm size). Finally a Dense Linear Layer is used to give the output for the model.

RNNModule(
    (embedding): Embedding(91, 64)
    (lstm): LSTM(64, 64, batch_first=True)
    (dense): Linear(in_features=64, out_features=91, bias=True)
)