Selecting a model to use

Now you know what pre-trained models are, how do you select one to use in a real world project? In this section you will walk through a hypothetical real world scenario, breaking down the problem into the following steps:
1. What exactly is the problem you are trying to solve?
2. Once you know the problem, what models do you know of that could assist you in solving this problem?
3. Considering all identified usable models, how do you select one to deliver the best solution?
Here we will cover concepts such as model size (both file size and RAM execution size), and model performance, along with other criteria to find the best model to choose.

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