On machine-learning
- Why our models train on forty different lobbies
A year of live events taught us that benchmark accuracy barely predicts real-world accuracy. What we changed in how we collect data and evaluate.
2 min reads likes comments - Google built its own chip for neural nets
The Tensor Processing Unit has been running in Google's data centers for a year. When a company designs custom silicon for a workload, the workload is here to stay.
2 min reads likes comments - TensorFlow is open source. What our studio will do with it
Google released its internal machine learning library. What changes for a thirty-person app studio that builds software for other companies.
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