February 16, 2021
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25:03Now PlayingSebastian's books
In the previous videos, we learned about one of the coolest features of PyTorch: automatic differentiation (that is, automatically computing gradients for us). Now, PyTorch also offers many convenience tools and functionality that makes deep learning easier for us by abstracting away the complicated bits. In this video, we will take a look at how we can use the PyTorch API from a objected-oriented and a more functional perspective.
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This video is part of my Introduction of Deep Learning course.
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