Think of a tensor as a multi-dimensional array. In TensorFlow, all data is represented as tensors, which are the primary data structures that are used to represent and manipulate data in TensorFlow.

Think of a tensor as a multi-dimensional array. In TensorFlow, all data is represented as tensors, which are the primary data structures that are used to represent and manipulate data in TensorFlow.

In the machine learning literature, a tensor is simply a synonym for multi-dimensional array. TensorFlow includes eager execution where code is examined step by step making it easier to debug. Tensor ...

TensorFlow 2.0, released in October 2019, revamped the framework significantly based on user feedback. The result is a machine learning framework that is easier to work with—for example, by ...

This model could be considered a four-dimensional model. You could choose to visualize this data in a table, or you could try to represent it as a picture. To get there, you would have to use vectors.