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Making the code of Logistic model for the mental workload classification. You need to program from scratch by yourself. Python functions should be created separately

Making the code of Logistic model for the mental workload
classification. You need to program from scratch by
yourself. Python functions should be created separately for
each step (e.g., forward propagation and gradient
calculation). It is not allowed to directly use the command
for Logistic model from a toolbox.
Selecting a deep learning model for the mental workload
classification. For the deep learning model, you can use any
publicly available packages/toolboxes. It is very
encouraging to adapt the existing deep learning models for
the purposes of performance improvement. If you use
publicly available code, you need to include proper
references and explicitly state where the code is from in the
report.

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