))
Prune This! PyTorch and Efficient AI
Fetch error
Hmmm there seems to be a problem fetching this series right now.
Last successful fetch was on November 09, 2024 13:09 (
What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.
Manage episode 449004164 series 3605861
Kandungan disediakan oleh Brian Carter. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Brian Carter atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.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
71 episod
Kongsi
))
