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
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)