Tensor Broadcasting
- This technique allows us to perform element-wise operations between two or more tensors of different shapes but having compatible shapes.
- Broadcasting is done when we have different shapes of different ranks but those must be compatible and meet certain conditions.
- In this technique, we make changes to the shapes that are compatible by changing the length of their dimension to meet the length of the dimension of the shape of the other tensor.
Tensor Broadcasting
Tensor broadcasting is a concept of array processing libraries like TensorFlow and NumPy, it allows for implicit element-wise operations between arrays of different shapes. In this article, we will learn about tensor broadcasting, it’s significance and steps to perform tensor broadcasting.
Table of Content
- Tensor Broadcasting
- Significance of Tensor Broadcasting in Array Operations
- Prerequisites
- Step by step process to perform Tensor Broadcasting
- Applications of Tensor Broadcasting
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