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The big pieces that have helped me understand and grow with tf:

I began learning a lot about the workflow through cookbooks with dialogue on why specific practices are used. My favorites started small with something like a linear regression model and hit all the major notes up to neural nets. If you go this route, I would pick something published recently so you are starting with the current version and can learn the new features as they are released.

From there I could begin to understand online tutorials on implementing this or that model. This gave me a lot of context on how I could begin testing different ideas and tuning my hyper parameters in my own models.

Someone who is a true pro can take if from here.