CN7023: Design, implement and deploy a deep learning based custom image multi-class classifier
Task
Design, implement and deploy a deep learning based custom image multi-class classifier. Write a research report of 5000 words in the style of a research paper, including the following:
- The research question(s) you are exploring and the experiments you designed to address these question(s).
- A clear presentation of the methods (implementation, architectures, hyper parameters.) that were used, an outline of how they were deployed, and a justification of your decisions.
- A clear presentation of results, discussion and interpretation of results and conclusions.
- Please follow the marking scheme and to ensure your report includes all required sections.
Datasets
Here are some online dataset repositories, or come up with your own:
- UCI KDD Archive : http://kdd.ics.uci.edu/
- UCI Machine Learning Repository:
- NIST Handprinted Forms and Characters Database https://www.nist.gov/srd/nist-special-database-19
- The mixed National Institute of Standards and Technology (MNIST) data set https://msdn.microsoft.com/en-us/magazine/dn754573.aspx
- CIFAR-10: http://groups.csail.mit.edu/vision/TinyImages/