I need to detail the architecture used in this article: [login to view URL]
(you can use similar articles to fill in the information)
Based on this article I need :
- An overview (clear graph) with the system used.
- The word embedding used. (with example)
- How the author code the locations.
- where one hot incoder is used an how?
- How to capture the aspects (« price », « safety », « transit-location » et « general ». )
- Detail layers used
The code is available here : [login to view URL]
- Run the code and add an interface (the main) to a jupyter notebook to visualise the inputs/outputs and the details of the execution.
4 freelancers are bidding on average $57 for this job
I have good command over Python , R machine learning & deep learning algorithm .Also 1 year experience in same. I am also using TABLEAU tool for Data visualization.