First-ever scalable, distributed deep learning architecture using Spark and Tachyon
At Strata Hadoop World New York 2015
Christopher Nguyen, Vu Pham, Michael Bui
Adatao, Inc.
Deep learning algorithms have been widely used in many real-world applications, including computer vision, machine translation, and fraud detection. Unfortunately, deep learning only works best when the model is big and trained on large-scale datasets. Meanwhile, distributed computing platforms like Spark are designed to handle big data, and have been used extensively. By having deep learning available on Spark, b
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First-ever scalable, distributed deep learning architecture using Spark and Tachyon