Topic outline

  • Instructions:

    • Reports (and texts) are to be done individually, you can cooperate on doing the exercises
    • Make sure to read the questions in detail and answer to all parts of the question
    • Write down all important steps
    • Label figures correctly (legend, axis etc.)
    • Return a separate PDF file. Use any text processor you like to prepare your submission.

    • Return the answers in a single pdf file. Don't scan handwritten text/figures but make everything on the computer.
    • Make sure to write your name, your student number and the exercise number in the pdf file
    • Upload the answers to MyCourses
    • See MyCourses for the submission deadlines

    How to remotely connect to a campus Linux desktop (Maari computers) for the exercises:
    1. Connect to a Linux shell server, either Kosh or Lyta: 'ssh YOUR_AALTO_USERNAME@kosh.aalto.fi'  OR  'ssh YOUR_AALTO_USERNAME@lyta.aalto.fi' (Please note that the command needs your Aalto username, therefore it is not the same as your email address, meaning the command is not 'ssh firstname.lastname@aalto.fi'.)
    2. Connect to a computer using 'ssh LINUX_COMPUTER_NAME'. Find the names here. Use the name as is and don't try translating Finnish names into English, because the computers do not recognize translations.

    • Make a submission

      Deadline 2.11. 23:59

      Exercise sessions:
      Thursday 27.10. 10:15-12:00
      Friday 28.10. 14:15-16:00

      Instructions and exercise files are in the zip attached on the assignment submission page.

    • Make a submission

      Deadline 9.11. 23:59

      Exercise sessions:
      Thursday 3.11. 10:15-12:00
      Friday 4.11. 14:15-16:00

      The assignment can be found here: http://research.spa.aalto.fi/speech/s895150/ex2.html

    • Make a submission

      Deadline 16.11. 23:59

      Exercise sessions:
      Thursday 10.11. 10:15-12:00

      Friday 11.11. 14:15-16:00

      The n-gram part of the assignment can be found here: http://research.spa.aalto.fi/speech/s895150/ex3.html

      The neural part instructions and data ( jupyter notebook) of the assignment is attached inside here.
      The history seed for FFNN is "a girl".
      The history seed for RNN is "<s> a girl". 

      Return one report for both parts of the assignment.

    • Make a submission

      Deadline 23.11. 23:59

      Exercise sessions:
      Thursday 17.11. 10:15-12:00
      Friday 18.11. 14:15-16:00

    • Make a submission

      Deadline 30.11. 23:59

      Exercise sessions:
      Thursday 24.11. 10:15-12:00
      Friday 25.11. 14:15-16:00

      Instructions and exercise files are in the zip attached on the assignment submission page. You can run the notebook at https://jupyter.cs.aalto.fi (recommended) or on your own computer. On the Jupyter notebook server, you can ignore the warning about NNPack initialization because it will not affect the output.