Posted On: Feb 22, 2018
Tensors can be thought of as vectors and matrices of higher dimensions. They represent n-dimensional arrays of base data-type. Each element of a tensor is of the same data-type which is always known.
However, the shape i.e. the number of dimensions and the size of each dimension might only be known partially. Although in most of cases the shape of the tensor is known, but in some cases, it is only possible to know the shape at the graph execution.
There are many types of tensors available some of them are.
All of these are immutable except for tf.Variable .
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