Wrap-Up

TensorFlow’s secret sauce is representing math as graphs of tensor ops, then using autodiff and device kernels to train models at scale. You write the math; TensorFlow handles the gradients, speed, and hardware. Once this mental model clicks, using high-level APIs (Keras) feels like calling a well-tuned orchestra: you conduct, it performs.