Assignments
Assignment 1: Introduction to ML tools
- Python Notebook
- Due date: Friday, Azar 7, 23:59
Assignment 2: Regression with BackPropagation
- Python Notebook
- Due date: Friday, Dey 5, 23:59
Assignment 3: CNN in Practice
- Python Notebook
- Due date: Wednesday, Bahman 1, 23:59
Assignment 4: Sequence Models
- Python Notebook
- Due date: Monday, Bahman 20, 23:59
Late Policy
- You have free 8 late days.
- You can use late days for assignments. A late day extends the deadline 24 hours.
- Once you have used all 8 late days, the penalty is 10% for each additional late day.
Notes
- Students who audit this course should submit their assignments to be qualified for attending the rest of the sessions.
- Finding any sort of copying will zero down that assignment grade and also will be counted as two negative assignment points for your final score.
Setup
- Download the Python Notebook file.
- Go to Google Colab.
- Switch to Upload tab, choose the notebook file and click upload.
- Now You’re ready to go.
Submission
Follow notebook instructions to submit your assignment!