Linking pages
- An Analysis of DAWNBench v1, a Time-to-Accuracy Benchmark for Deep Learning · Stanford DAWN https://dawn.cs.stanford.edu/2018/06/19/dawnbench-analysis/ 0 comments
- AI & Machine Learning Landscape (Part 2): Training platforms and tools | by Austin Kodra | Heartbeat https://heartbeat.fritz.ai/ai-machine-learning-landscape-part-2-424a787e12ba 0 comments
Linked pages
- TensorFlow http://tensorflow.org/ 440 comments
- PyTorch http://pytorch.org/ 100 comments
- Tesla P100 Data Center Accelerator | NVIDIA http://www.nvidia.com/object/tesla-p100.html 97 comments
- Google Colab https://colab.research.google.com/#scrollTo=Nma_JWh-W-IF 25 comments
- ImageNet http://image-net.org/index 12 comments
- Stanford DAWN Deep Learning Benchmark (DAWNBench) · https://dawn.cs.stanford.edu/benchmark/ 0 comments
- [1709.05011] ImageNet Training in Minutes https://arxiv.org/abs/1709.05011 0 comments
- [1802.01548] Regularized Evolution for Image Classifier Architecture Search https://arxiv.org/abs/1802.01548 0 comments
- Apache MXNet | A flexible and efficient library for deep learning. https://mxnet.incubator.apache.org/ 0 comments
- Train and run machine learning models faster | Cloud TPU | Google Cloud https://cloud.google.com/tpu/ 0 comments
- [1603.05027] Identity Mappings in Deep Residual Networks http://arxiv.org/abs/1603.05027 0 comments
- [1710.10196] Progressive Growing of GANs for Improved Quality, Stability, and Variation https://arxiv.org/abs/1710.10196 0 comments
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