TensorFlow vs. NumPy

The infrastructural layer is TensorFlow for differentiable(derivatives) programming. It's a framework at its core to manipulate N-Dimensional arrays(i.e. These are much like NumPy arrays. Although some differences can be noticed. There are such difficulties to accelerate GPUs and TPUs by NumPy, but TensorFlow can leverage the hardware accelerators.