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Arjun Bansal edited this page Aug 8, 2016
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##Docs & Installation
Full documentation including installation and usage instructions and more is available from: http://neon.nervanasys.com/docs/latest/index.html
We have many common and state of the art deep learning models ready for use with neon. They can be found in our model zoo.
- Benchmarks by Facebook and Baidu
- neon examples
- neon tutorials and docs
- neon course
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video tutorial
- iPython Notebooks used in the tutorial
- Slides from meet-ups & presentations
- Neon users group
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Blog posts
- Models
- Deep Reinforcement Learning with neon: Train neural networks to play Atari games (simple_dqn)
- Using neon with OpenAI Gym
- Scene recognition using neon
- Customer use-cases
- Agricultural Robotics: Blue River Technology: Convolutional Autoencoders for localizing stem-ground contact points in precision agriculture
- Autonomous Driving: Serving the Automotive Industry with the Nervana Platform
- Hyperparameter optimization of deep networks using SigOpt, neon and the Nervana Cloud
- Speed
- Neon with Multi-GPU on Nervana cloud: Train neural nets 7.2x faster with multiple GPUs
- Neon on Kepler/AWS vs Titan/Nervana Cloud: Train neural nets 70x faster on the Nervana cloud vs. AWS
- Neon with Winograd achieves 2-3x speedups over cuDNN v4
- Persistent RNN kernels
- Models
- Kaggle competitions using neon
- Demos of neon capabilities including speech, video and reinforcement learning
- Convert Caffe models to neon caffe2neon