Chapter 2. Doing Math with TensorFlow
In this chapter, we will cover the following topics:
- The tensor data structure
- Handling tensors with TensorFlow
- Complex numbers and fractals
- Computing derivatives
- Random numbers
- Solving partial differential equations
The tensor data structure
Tensors are the basic data structures in TensorFlow. As we have already said, they represent the connecting edges in a Data Flow Graph. A tensor simply identifies a multidimensional array or list.
It can be identified by three parameters, rank, shape, and type:
rank: Each tensor is described by a unit of dimensionality called rank. It identifies the number of dimensions of the tensor. For this reason, a rank is known as order or n-dimensions of a tensor (for example, a rank 2 ...
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