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Prune This! PyTorch and Efficient AI

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Manage episode 449004164 series 3605861
Konten disediakan oleh Brian Carter. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Brian Carter atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.

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

  continue reading

71 episode

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iconBagikan
 
Manage episode 449004164 series 3605861
Konten disediakan oleh Brian Carter. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Brian Carter atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.

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

  continue reading

71 episode

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