With AWS DeepRacer, we can train models in the cloud using Amazon SageMaker and test them on a physical track. This hackathon will challenge us to train, optimize, and compete with our very own DeepRacer models!
Need to update the README with information which is pertinent to the project and shows some of the methods and thinking that was used such as:
Add videos, pictures, Gantt charts
Describe how work was divided and who did what
Describe some short comings (look at the issues we faced with model 2 and model3)
What did we learn from doing this hackathon
How does our model perform in real life vs in the evaluation simulation
Additionally, add code documentation in accordance with norms, such as using a consistent naming strategy (camelCase). Be creative, what do you think recruiters looking at this project of ours want to see from us and is there anywhere where we really shinned?
Need to update the README with information which is pertinent to the project and shows some of the methods and thinking that was used such as:
Additionally, add code documentation in accordance with norms, such as using a consistent naming strategy (camelCase). Be creative, what do you think recruiters looking at this project of ours want to see from us and is there anywhere where we really shinned?