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Due: 8:00 pm (AEST) 19 April 2021 (Monday)
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"This is an
individual assignment. It contributes
30% to your final mark. Read the assignment instruction carefully.\n",
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What to submit
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"This assignment is to be completed individually and submitted to CloudDeakin. By the due date, you are required to submit the following files to the corresponding Assignment (Dropbox) in CloudDeakin:\n",
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"- \t[YourID]_assignment1_solution.ipynp: This is your Python notebook solution source file.
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"- \t[YourID]_assingment1_output.html: This is the output of your Python notebook solution exported in HTML format.
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"- \tExtra files needed to complete your assignment, if any (e.g., images used in your answers).
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"For example, if your student ID is: 123456, you will then need to submit the following files:\n",
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"- 123456_assignment1_solution.ipynp
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"- 123456_assignment1_output.html
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Marking criteria
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"Your submission will be marked using the following criteria.\n",
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"- Showing good effort through completed tasks.
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"- Applying deep learning theory to design suitable deep learning solutions for the tasks.
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"- Critically evaluating and reflecting on the pros and cons of various design decisions.
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"- Demonstrating creativity and resourcefulness in providing unique individual solutions. (Warning: Highly similar solutions will be investigated for collusion.)
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"- Showing attention to details through a good quality assignment report.
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"Indicative weights of various tasks are provided below, but the assignment will be marked by the overall quality per the above criteria. \n",
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