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I am still lost on the Spark and Deep Learning model.If I have a (2D) time series that I want to use for e.g. an LSTM model. Then I first convert it to a 3D array and then pass it to the model. This is normally done in memory with numpy. But what hap...
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Hi!I guess you've already solved this issue (your question has been posted more than 1 year ago), but maybe you could be interested in readinghttps://learn.microsoft.com/en-gb/azure/databricks/machine-learning/train-model/dl-best-practicesThere are s...
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I am Avi, a Solutions Architect at Databricks. We have built an application to demonstrate how AI-capabilities could be easily integrated to deliver novel user experiences. The application allows users to submit images and text, and uses these inputs...
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Hi @Avinash Sooriyarachchi​ Thanks for sharing it.
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I'd like to use Deep Learning on Spark within AWS EMR.Is there a best practice or 'recommended' DL framework to run on Spark? It looks like Databricks' spark-deep-learning has been replaced by Horovod—should this the first option to consider?
If th...
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How do I efficiently read image data for a deep learning model?
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Our documentation provides nice examples of preparing image data for training and inference.Training: See docs for AWS, Azure, GCPInference: See reference solution for AWS, Azure, GCP
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