Linking pages
- Lab41 Reading Group: SqueezeNet. The next paper from our reading group… | by Abhinav G | Gab41 https://gab41.lab41.org/lab41-reading-group-squeezenet-9b9d1d754c75 0 comments
- AWS Contributes to Milestone 1.0 Release and Adds Model Serving Capability for Apache MXNet | AWS News Blog https://aws.amazon.com/blogs/aws/aws-contributes-to-milestone-1-0-release-and-adds-model-serving-capability-for-apache-mxnet/ 0 comments
- [Hacker Noon] Building Not Hotdog with Turi Create and Core ML — in an afternoon | by Jameson Toole | Heartbeat https://heartbeat.fritz.ai/building-not-hotdog-with-turi-create-and-core-ml-in-an-afternoon-a87fd1967d10 0 comments
- Machine Learning in iOS: Turi Create and CoreML | by Khoa Pham | Medium https://medium.com/flawless-app-stories/machine-learning-in-ios-turi-create-and-coreml-5ddce0dc8e26 0 comments
- GitHub - pavelgonchar/neural-art-mini: Lightweight version of mxnet neural art implementation https://github.com/pavelgonchar/neural-art-mini 0 comments
Linked pages
- [1602.07360] SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and &ampampampampampampampampampampampampampampampampampampampLT0.5MB model size https://arxiv.org/abs/1602.07360 0 comments
- GitHub - pavelgonchar/neural-art-mini: Lightweight version of mxnet neural art implementation https://github.com/pavelgonchar/neural-art-mini 0 comments
Related searches:
Search whole site: site:github.com
Search title: GitHub - forresti/SqueezeNet: SqueezeNet: AlexNet-level accuracy with 50x fewer parameters
See how to search.