Resources¶
neon¶
Besides the user guide and API, be sure to check out our Model Zoo for the latest state-of-the art models.
We also have other external resources:
Video tutorial from the SD meetup, where we used these ipython notebooks.
Our blog. In particular:
- Deep Reinforcement Learning with neon: Train neural networks to play Atari games
- 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
The neon users group
Kaggle competitions using neon:
Demos of neon capabilities including speech, video and reinforcement learning
Convert caffe models to neon with caffe2neon
Deep Learning¶
To learn about deep learning in general, we recommend the following resources:
- Hinton Coursera: Neural Networks for Machine learning
- Hugo Larochelle’s Neural networks class
- Karpathy’s CS231n: Convolutional Neural Networks for Visual Recognition
- Nando de Freitas’ Deep Learning Course
There are also several textbooks:
- Learning Deep Architectures for AI, by Yoshua Bengio
- Deep Learning in Neural Networks: An Overview by Jurgen Schmidhuber