Understanding the effects of data parallelism and sparsity on neural network training
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Updated
Jul 27, 2021 - Python
Understanding the effects of data parallelism and sparsity on neural network training
Feature selection for hard voting classifier and NN sparse weight initialization.
Build sparse PyTorch neural networks from edge lists of named nodes, with optional feature- and node-level attribution.
Sparse Neural Networks — Python‑First
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