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Getting started with PyTorch tensors

Tensors are PyTorch's core data structure and the foundation of deep learning. They're similar to NumPy arrays but have unique features.

Here you have a Python list named temperatures containing daily readings from two weather stations. Try converting this into a tensor!

This exercise is part of the course

Introduction to Deep Learning with PyTorch

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Exercise instructions

  • Begin by importing torch.
  • Create a tensor from the Python list temperatures.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Import PyTorch
____

temperatures = [[72, 75, 78], [70, 73, 76]]

# Create a tensor from temperatures
temp_tensor = torch.____(____)

print(temp_tensor)
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