Fig. 11From: SMILES-based deep generative scaffold decorator for de-novo drug designArchitecture 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 trainingBack to article page