Advances in deep neural networks have ignited a new wave of algorithms and tools for data scientists to tap into their data with artificial intelligence.
Training deep neural networks requires both high quality input data and large amounts of computation. Deep learning is more than just constructing and training models - there is also an entire data pipeline that must be designed for the scale, iteration, and experimentation necessary for a data science team to succeed.
This technical whitepaper describes the reasons for and benefits of an end-to-end training system, and why the PureStorage FlashBlade product is an essential platform.
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