From 630ee4518ba8c157de15d28846d0f3e14f5bc457 Mon Sep 17 00:00:00 2001 From: Glenn Jocher Date: Tue, 19 Mar 2024 22:08:39 -0700 Subject: [PATCH] Fix Neural Magic links (#9144) --- docs/en/integrations/neural-magic.md | 2 +- docs/en/yolov5/tutorials/neural_magic_pruning_quantization.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/en/integrations/neural-magic.md b/docs/en/integrations/neural-magic.md index 53910972..293c1991 100644 --- a/docs/en/integrations/neural-magic.md +++ b/docs/en/integrations/neural-magic.md @@ -13,7 +13,7 @@ This guide shows you how to deploy YOLOv8 using Neural Magic's DeepSparse, how t ## Neural Magic’s DeepSparse

- Neural Magic’s DeepSparse Overview + Neural Magic’s DeepSparse Overview

[Neural Magic’s DeepSparse](https://neuralmagic.com/deepsparse/) is an inference run-time designed to optimize the execution of neural networks on CPUs. It applies advanced techniques like sparsity, pruning, and quantization to dramatically reduce computational demands while maintaining accuracy. DeepSparse offers an agile solution for efficient and scalable neural network execution across various devices. diff --git a/docs/en/yolov5/tutorials/neural_magic_pruning_quantization.md b/docs/en/yolov5/tutorials/neural_magic_pruning_quantization.md index e0c25284..37c89c14 100644 --- a/docs/en/yolov5/tutorials/neural_magic_pruning_quantization.md +++ b/docs/en/yolov5/tutorials/neural_magic_pruning_quantization.md @@ -52,7 +52,7 @@ Sparse networks with compressed computation, executed depth-wise in cache, allow Neural Magic's open-source model repository, SparseZoo, contains pre-sparsified checkpoints of each YOLOv5 model. Using SparseML, which is integrated with Ultralytics, you can fine-tune a sparse checkpoint onto your data with a single CLI command. -[Checkout Neural Magic's YOLOv5 documentation for more details](https://docs.neuralmagic.com/use-cases/object-detection/sparsifying). +[Checkout Neural Magic's YOLOv5 documentation for more details](https://docs.neuralmagic.com/computer-vision/object-detection/). ## DeepSparse Usage