Monday, October 31st, 2022 - Saturday, November 5th, 2022

Applied dense, LSTM, Conv1D layer to his project. Though this work was not hard, it was an excellent warm-up exercise for me to get back to the coding state.

Unexpectedly, the MLP which is the easy one gave the best result.

Change the code used in the demo to fit the input data from an Excel file.

Upgraded most of the CPU version PyTorch to CUDA version.

I helped my senior fellow set up all the code. Consequently, he could just click the run button and get results.

But he kept asking me what is the meaning of the parameter in the code and telling me his naive thoughts without having any course. For instance, it was hard to tell the difference between training, validation, and test dataset in such circumstances that he had no idea about these words.

Also, he kept telling me what he had done and planned to do in his project. Sorry, I had no interest in it at all.

Finally, the exam was over and my task was switched back to coding which was much more interesting than doing paper work.