Chapter 4: Low-level API in TensorFlow

If we compare a model to a house, then these low-level APIs are the bricks.

We may use TensorFlow as the enhanced numpy through these low-level APIs.

TensorFlow provides a more complete set of methods comparing to numpy. These methods have higher executiing efficiency and could be further accelerated by GPU if necessary.

Tensor operation can be devided into two sub-categories: the structural operation and the mathematical operation.

The structural operation includes tensor creation, indexing and slicing, dimension transformation, combining & splitting, etc.

The mathematical operation includes scalar operation, vector operation, and matrix operation. We will also introduce the broadcasting mechanism of tensor operation.

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