Live briefing
Everything about Apache MXNet
Multi-language machine learning library
Apache MXNet is an open-source deep learning software framework that trains and deploys deep neural networks. It aims to be scalable, allows fast model training, and supports a flexible programming model and multiple programming languages. The MXNet library is portable and can scale to multiple GPUs and machines. It was co-developed by Carlos Guestrin at the University of Washington, along with GraphLab. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Apache MXNetA 5-minute orientation
- Pick up a classic book: Deep Learning with MXNet CookbookThe most-reprinted book on the subject
- Go sideways: Amazon SageMakerA closely related topic
- Go sideways: Horovod (machine learning)A closely related topic
📖 Definitions
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🗂️ The subject at a glance
🏆 Landmark papers (most cited)
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📚 Books worth reading
- 📕Deep Learning with MXNet CookbookAndres Perez-Torres · 2023
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
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