Predicting Sales during Hurricanes for a Home Improvement Retailer via TensorFlow (Cloud Next ’18)

When a hurricane is bearing down on a major metropolitan area, accurately predicting the extreme spikes in demand for home improvement categories is extremely difficult, and too often based on inaccurate instinct. See how North Highland used TensorFlow to train a recursive neural network on hundreds of terabytes of weather data, to help a major home improvement retailer better protect their customers’ homes and loved ones in times of need.

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Duration: 38:
Publisher: Google Cloud
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