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Both sources explain neural network pruning techniques in PyTorch. The first source, "How to Prune Neural Networks with PyTorch," provides a general overview of the pruning concept and its various methods, along with practical examples of how to implement different pruning techniques using PyTorch's built-in functions. The second source, "Pruning Tutorial," focuses on a more in-depth explanation of pruning functionalities within PyTorch, demonstrating how to prune individual modules, apply iterative pruning, serialize pruned models, and even extend PyTorch with custom pruning methods.
Read this: https://towardsdatascience.com/how-to-prune-neural-networks-with-pytorch-ebef60316b91
And the PyTorch tutorial: https://pytorch.org/tutorials/intermediate/pruning_tutorial.html
71 episodes
When?
This feed was archived on May 02, 2025 14:13 (
Why? Inactive feed status. Our servers were unable to retrieve a valid podcast feed for a sustained period.
What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.
Both sources explain neural network pruning techniques in PyTorch. The first source, "How to Prune Neural Networks with PyTorch," provides a general overview of the pruning concept and its various methods, along with practical examples of how to implement different pruning techniques using PyTorch's built-in functions. The second source, "Pruning Tutorial," focuses on a more in-depth explanation of pruning functionalities within PyTorch, demonstrating how to prune individual modules, apply iterative pruning, serialize pruned models, and even extend PyTorch with custom pruning methods.
Read this: https://towardsdatascience.com/how-to-prune-neural-networks-with-pytorch-ebef60316b91
And the PyTorch tutorial: https://pytorch.org/tutorials/intermediate/pruning_tutorial.html
71 episodes
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