Practical: Tensors in PyTorch
A link to a short colab notebook demonstrating tensors in PyTorch
© The University of Nottingham
Tensors are the data type used to transmit data through deep learning networks.
In the linked Colab notebook we look at:
- how to make tensors in PyTorch
- arithmetical operations with tensors: add, subtract, multiply, divide
- performing other mathematical functions on tensors: e.g. exponential and trigonometric functions
- how to make tensors of a given size and shape, including random tensors
- how to access elements within tensors or parts of tensors using indexing and slicing
- how to reshape tensors using
flatten,squeezeandunsqueeze.
Follow the link below and work through the Colab notebook as before.
You may wish to open the link in a new browser tab so you can refer back here quickly.
Please leave any questions or comments below.
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