A Tale of Three Deep Learning Frameworks: TensorFlow, Keras, & Deep Learning Pipelines by Jules Damji, Spark Community Evangelist, 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? In this session, we will show you how easy it is to build an image classifier with Tensorflow, Keras, and Deep Learning Pipelines in under 30 minutes. After this session, you will walk away with the confidence to evaluate which framework is best for you, and perhaps with a better sense for how to fool an image classifier!