In the demand prediction video, the t-shirt example takes in 4 input values (price, shipping cost, marketing, and material) to pass to the hidden layer. How do we define what those input values should be?
For the t-shirt example in particular, if we were not given those input values, what’s the strategy to define the best input values?
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Hi @rkale128
Those input values are independent variables that would impact the output. Which variable to use is very much depends on what problem you want to solve. If your business is selling T-shirt, then, the question is what would influence the sale of T-shirt? If you don’t have the basic of price, shipping cost, marketing and material, you can take a look at business similar to yours and try to see if your model is able to give a reasonable prediction and offer some insights as to what variables to add or remove.
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