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Neural Network Compression: Difference between revisions
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* Google uses [https://cloud.google.com/blog/products/ai-machine-learning/bfloat16-the-secret-to-high-performance-on-cloud-tpus bfloat16] for training on TPUs. | * Google uses [https://cloud.google.com/blog/products/ai-machine-learning/bfloat16-the-secret-to-high-performance-on-cloud-tpus bfloat16] for training on TPUs. | ||
* Gupta ''et al.''<ref name="gupta2015limited"></ref> train using a custom 16-bit representation with ''stochastic rounding''. They observe little to no degradation on MNIST MLP and CIFAR10 CNN classification accuracy. | * Gupta ''et al.''<ref name="gupta2015limited"></ref> train using a custom 16-bit representation with ''stochastic rounding''. They observe little to no degradation on MNIST MLP and CIFAR10 CNN classification accuracy. Stochastic rounding rounds to the nearest value with probability based on distance to that value. | ||
==Factorization== | ==Factorization== | ||