Prepare a few files with different teaching sets for different tasks and compare the results after a network is taught. Establish the degree of task difficulty (based on the similarities of data sets that the network must distinguish) that influences the duration of teaching and frequency of network errors after teaching is complete. Try to find a difficult task that the network will be unable to learn no matter how much it is taught.