Understanding AI/ML with TensorFlow via Project-based Immersion

Using either framework will reduce the headache that is from-scratch development and will allow the engineer/developer to build faster, and create solutions which are more easily explained thanks to respective profilers and TensorBoard. Simply put: there are too many unofficial tutorials covering the same topics and the code quality varies too greatly; these tutorials are noise and can be ignored. TensorFlow, Keras, and PyTorch all offer awesome, free tutorials; and the docs are organized into a textbook like manner. Familiarizing with a study framework like SQ3R, KWT, or PQRST will aid in using the docs to learn about AI/ML while also learning to use the framework. If needing Python standard examples, the site RealPython seems to be reliable and consistent; however, a docs-first research method is best.