Neural Network Pruning
Jonathan and Lukas discuss the impact of dropout on network pruning, highlighting the challenges of pruning weights versus neurons. They delve into the variability of pruning performance across different tasks and data complexities, emphasizing the lack of a universal rule for network compression through pruning.In this clip
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Gradient Dissent - A Machine Learning Podcast
Jonathan Frankle of MosiacML— Neural Network Pruning and Training
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