Blog - Neural Magic - Machine Learning Without Limits

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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