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Creating a single place for FfDL collateral for demos, talks, article…
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# Fabric for Deep Learning related demos, talks, videos, publications and more. | ||
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This is a running list of FfDL demos to be used for conference talks and presentations. | ||
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## Demos to show | ||
1. [Train and Depploy your Fashion MNIST model with FfDL](fashion-mnist-training/README.md) | ||
2. [Launch adversarial attack on Fashion MNIST model ](fashion-mnist-adversarial/README.md) | ||
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# FfDL Publications | ||
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## Slides | ||
- [Fabric for Deep Learning](https://www.slideshare.net/AnimeshSingh/fabric-for-deep-learning-94941117) | ||
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## Videos | ||
- [Introduction to Fabric for Deep Learning (FfDL)](https://www.youtube.com/watch?v=aKOqFL7VWhI) | ||
- [Fabric for Deep Learning](https://www.youtube.com/watch?v=nQsYWmkfLP4) | ||
- [FfDL at IEEE Computer Society Silicon Valley](https://youtu.be/wPKin0mN9LA?t=743) | ||
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## Articles | ||
### IBM-Affiliated | ||
- [FfDL IBM Code Open Project Page](https://developer.ibm.com/code/open/projects/fabric-for-deep-learning-ffdl/) | ||
- [developerWorks: Fabric for Deep Learning](https://developer.ibm.com/code/2018/03/20/fabric-for-deep-learning/) | ||
- [developerWorks: Democratize AI with Fabric for Deep Learning (FfDL)](https://developer.ibm.com/code/2018/03/20/democratize-ai-with-fabric-for-deep-learning/) | ||
- [Introducing Fabric for Deep Learning (FfDL) on medium.com](https://medium.com/ibm-watson/introducing-fabric-for-deep-learning-ffdl-542522774775) | ||
- [developerWorks: Serve it hot! Deploy your FfDL trained models using Seldon](https://developer.ibm.com/code/2018/06/12/serve-it-hot-deploy-your-ffdl-trained-models-using-seldon/) | ||
- [Deep Learning Advances from IBM Research](https://www.ibm.com/blogs/research/2018/03/deep-learning-advances/) | ||
### Independent | ||
- [Q&A on IBM's Fabric for Deep Learning with Chief Architect of Watson (InfoQ)](https://www.infoq.com/news/2018/04/ffdl-ruchir-puri) | ||
- [IBM wants to open up the deep learning expertise bottleneck (IT World)](https://www.itworld.com/article/3263454/cloud-computing/ibm-wants-to-open-up-the-deep-learning-expertise-bottleneck.html) | ||
- [IBM launches deep learning as a service inside its Watson Studio (Tech Crunch)](https://techcrunch.com/2018/03/19/ibm-launches-deep-learning-as-a-service-inside-its-watson-studio/) | ||
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# FfDL Ecosystem and Related Projects | ||
- [Adversarial Robustness Toolbox](https://developer.ibm.com/code/open/projects/adversarial-robustness-toolbox/), [Github](https://github.com/IBM/adversarial-robustness-toolbox) | ||
- [IBM Code Model Asset Exchange (MAX)](https://developer.ibm.com/code/exchanges/models/) | ||
- [H2O.ai Integration](https://github.com/IBM/FfDL/tree/master/community/FfDL-H2Oai) | ||
- [Seldon Integration](https://github.com/IBM/FfDL/tree/master/community/FfDL-Seldon) | ||
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## Papers | ||
- [IBM Deep Learning Service](https://arxiv.org/abs/1709.05871) | ||
- [Scalable Multi-Framework Multi-Tenant Lifecycle Management of Deep Learning Training Jobs](http://learningsys.org/nips17/assets/papers/paper_29.pdf) | ||
- [Dependability in a Multi-tenant Multi-framework Deep Learning as-a-Service Platform](https://arxiv.org/abs/1805.06801) | ||
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# IBM Products | ||
## Watson Machine Learning and Watson Studio | ||
- [IBM Watson Machine Learning](https://www.ibm.com/cloud/machine-learning) | ||
- [IBM Watson Studio](https://www.ibm.com/cloud/watson-studio) | ||
- [IBM Watson Studio Workshop](https://github.com/PubChimps/DLaaSWorkshop) | ||
- [IBM Watson Studio: Deep Learning as a Service](https://www.ibm.com/cloud/deep-learning) | ||
- [IBM Cloud Container Service](https://www.ibm.com/cloud/container-service) | ||
- [IBM Cloud Object Storage](https://www.ibm.com/cloud/object-storage) |
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