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CS-E4890 - Deep Learning, 25.02.2020-19.05.2020

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Syllabus

Exercise sessions

  • Exercise sessions

    Exercise sessions

    Exercise sessions are organized to help you solve home assignments. You do not have to attend them.
    • Arrangement changes due to Coronavirus

      • We encourage you to try to get answers to your questions via slack by posting questions either in the exercise-specific channels or by sending a private message to a TA responsible for the assignment.
      • The TAs responsible for the next assignment will check slack in the evenings (17:00-18:00) every day except for weekends. We will do our best to check slack even more regularly.
      • The TAs responsible for the next assignment will be active in slack at the time of the scheduled exercise sessions. During that time, you can ask questions in slack and/or set up a call if you want to show your code. The calls will be done over Skype. If you want to have a call, please send your Skype id to the TA in a private message.
      • To distribute the load uniformly, please contact the TAs during the exercise session slots according to the first letter in your family name, as indicated below.
    • Attendance schedule

      If you decide to attend exercise sessions, please attend sessions according to the first letters in your family name.

      Exercise sessions Family name
      H05 A - G
      H03 H - Ka
      H04 Kb - Mc
      H01 Md - Pr
      H02 Po - Pö
      H06 Q - Z
    • Teaching assistants responsible for the assignments

      Assignment Teaching assistants
      01_mlp Prakhar Verma, Kunal Ghosh
      02_backprop Prakhar Verma, Kunal Ghosh
      04_cnn Prakhar Verma, Kunal Ghosh
      05_rnn Cagatay Yildiz, Mehdi Saman Booy
      06_transformer Cagatay Yildiz, Arturs Polis
      07_gnn Mehdi Saman Booy, Arturs Polis
      08_few Rongtian Ye, Kate Haitsiukevich, Pashupati Hegde
      09_ae Kunal Ghosh, Prakhar Verma
      10_ar Mehdi Saman Booy, Cagatay Yildiz
      11_gan Rongtian Ye, Pashupati Hegde, Kate Haitsiukevich

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  • CS-E4890 - Deep Learning, 25.02.2020-19.05.2020
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  • Schools
    • School of Arts, Design, and Architecture (ARTS)
    • School of Business (BIZ)
    • School of Chemical Engineering (CHEM)
    • –sGuides for students (CHEM)
    • – Instructions for report writing (CHEM)
    • School of Electrical Engineering (ELEC)
    • School of Engineering (ENG)
    • School of Science (SCI)
    • Language Centre
    • Open University
    • Library
    • Aalto university pedagogical training program
    • UNI (exams)
    • Sandbox
  • CORONAVIRUS INFO
    • Koronavirus - tietoa opiskelijalle
    • Coronavirus - information for students
    • Coronavirus - information för studerande
    • Koronaviruksen vaikutus opiskeluun: kysymyksiä ja vastauksia
    • Effects of the coronavirus on studies: questions and answers
    • Coronaviruset och studierna: frågor och svar
    • Corona help for teachers
  • Service Links
    • MyCourses
    • - Instructions for Teachers
    • - Teacher book your online session with a specialist
    • - Digital tools for teaching
    • - Personal data protection instructions for teachers
    • - Instructions for Students
    • - Workspace for thesis supervision
    • WebOodi
    • Into portal for students
    • Courses.aalto.fi
    • Library Services
    • - Resourcesguides
    • - Imagoa / Open science and images
    • IT Services
    • Campus maps
    • - Search spaces and see opening hours
    • Restaurants in Otaniemi
    • ASU Aalto Student Union
    • Aalto Marketplace
  • ALLWELL?
    • Study Skills
    • Support for Studying
    • Starting Point of Wellbeing
    • About AllWell? study well-being questionnaire
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