Fig. 5.

Illustration shows the concept of transfer learning. (a) Source sample consists of huge volume of drug datasets to predict the drug side effects. Random weights were trained to achieve learned weights on source sample. The learned features from (a) were transferred to (b), for example, the weights of the network were transferred to (b). (b) Target sample that includes drugs SMILES and FASTA. The learned weights on the source sample are then trained to achieve fine-tuned weights on source sample.