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LATEST
Using Sparse-Quantization in Inference: NeurIPS 2020
Did you know that most weights in a neural network are actually useless? In other words, most weights can be→
Saša Zelenović
12/15/20
Neural Magic End-to-End Demo Videos
Neural Magic delivers best-in-class deep learning performance on commodity CPUs. We do this via: Model optimization techniques like pruning and→
Gaurav Rao
09/15/20
Part 4: Sparsity per Layer Hyperparameter
TL;DR: In addition to the general hyperparameters described in the previous post, the sparsity to target per layer is arguably→
Mark Kurtz
08/27/20
Part 3: Gradual Magnitude Pruning (GMP) Hyperparameters
TL;DR: To facilitate the GMP process when pruning a network, several hyperparameters must be defined. These include general hyperparameters such→
Mark Kurtz
08/18/20
more magic
Neural Magic 1.4 Product Release
Neural Magic at NeurIPS 2020
Neural Magic 1.2 Product Release
Speeding Up Memory-Bound Object Detection Models: MobileNetV2_SSD
Machine Learning Engineer Spotlight: Mani Sarkar
Part 2: An Intro to Gradual Magnitude Pruning (GMP)
Neural Magic 1.1 Product Release
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