rp_deeplearning_assignment

RP assignment for Deep Learning Fundamentals

Question 1

• Run Question1_DLF.ipynb in jupyter notebook
• Set 'verbose=0' or 'verbose=1' in the notebook to turn on verbosity by commenting/uncommenting the lines.

Question 2

• There are 3 files in the directory. 1) Question2_DLF.ipynb, 2) Question2_Test_DLF.ipynb 3) Question2_Test_DLF.py

• Question2_DLF.ipynb is to train the model. The dataset is loaded from 'data' directory.
  The model generated is saved, together with the scaler in 'model' directory.

• Like question 1 above, you can set 'verbose=0' or 'verbose=1' in the script.

• Question2_Test_DLF.ipynb is to test the model using test files 1) datatest.txt or 2) datatest2.txt.
  Question2_Test_DLF.ipynb has been converted to a python script and you can run it in a terminal, with the necessary python modules installed.

• Like question 1 above, you can set 'verbose=0' or 'verbose=1' in the script.

• You can test with either one of the two test files by commenting and uncommenting the filename lines in the script.

• An example to run it as a python script: python Question2_Test_DLF.py -h

        usage: Question #2 Testing [-h] [-v VERBOSE] [-t TEST]
  
        optional arguments:
           -h, --help            show this help message and exit
           -v VERBOSE, --verbose VERBOSE
                                 turn on or off verbose mode (default: 1)
           -t TEST, --test TEST  (0) for datatest.txt and (1) datatest1.txt
  

  Example: python Question2_Test_DLF.py -v 0 -t 1 OR python Question2_Test_DLF.py -v 1 -t 2