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. Author manuscript; available in PMC: 2021 Mar 23.
Published in final edited form as: J Chem Inf Model. 2020 Mar 3;60(3):1290–1301. doi: 10.1021/acs.jcim.9b00721

Figure 1.

Figure 1.

Overview of the status of machine learning for chemical reactions. Popular deep neural networks are shown in the middle row, where the internal “hidden” representations are hoped to be equivalent to the third row. In the third row, principles behind the predictions are chemically intuitive concepts.