You don't have to know how an internal combustion engine works to use one. If you need to troubleshoot or repair it, you have to know the basics. The same is tr

You don't have to know how an internal combustion engine works to use one. If you need to troubleshoot or repair it, you have to know the basics. The same is true of neural networks. Using Tensorflow doesn't require you to know all the details, you build a model of the network, and it actually executes that model. The low level stuff is handled. You still have to know how to tell when it is working, or not. Properly rationing your training/testing/validation ports of data is surprisingly important for not ending up with a model that seems to work great until you use it in the real world.