📺 A Python library for pruning and visualizing Keras Neural Networks' structure and weights
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Updated
Dec 24, 2019 - Python
📺 A Python library for pruning and visualizing Keras Neural Networks' structure and weights
WeightUsageAnalyzer is a lightweight toolkit for analyzing the effective use of weights in neural networks. It provides quantitative metrics (entropy, coverage, FLOPs) and visualizations to identify redundant parameters and guide model simplification, compatible with both PyTorch and TensorFlow.
Technical documentation for the Ultraship U2 scale available in English and Spanish.
Deep Learning models with vanilla & PyTorch implementations. Projects, Research, Theory and homeworks
Analyze neural network weight usage with WeightUsageAnalyzer. Optimize your models in PyTorch and TensorFlow for efficiency and performance. 🐙💻
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