Fig. 11
From: SMILES-based deep generative scaffold decorator for de-novo drug design
Architecture of an RNN cell used in both the scaffold generator and decorator models. Input passes through an embedding layer, three LSTM layers with 512 dimensions, and lastly, a feed-forward layer that reshapes the input to the size of the vocabulary. Dashed lines mean that a dropout layer is added during training