Three Deep Learning Frameworks - TensorFlow, Keras, and More (Jules Damji and Brooke Wenig)

Jules S. Damji is an Apache Spark Community and Developer Advocate at Databricks. Brooke Wenig is the Machine Learning Practice Lead at Databricks.

We all know what they say – the bigger the data, the better. But when the data gets really big, how do you use it? This talk will cover three of the most popular deep learning frameworks: TensorFlow, Keras, and Deep Learning Pipelines, and when, where, and how to use them.

We’ll also discuss their integration with distributed computing engines such as Apache Spark (which can handle massive amounts of data), as well as help you answer questions such as:

– As a developer how do I pick the right deep learning framework for me?

– Do I want to develop my own model or should I employ an existing one

– How do I strike a trade-off between productivity and control through low-level APIs?

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