Ian Lewis - Deep Learning with Python & TensorFlow

Ian Lewis - Deep Learning with Python & TensorFlow
[EuroPython 2016]
[22 July 2016]
[Bilbao, Euskadi, Spain]
(https://ep2016.europython.eu//conference/talks/deep-learning-with-python-tensorflow)

Python has lots of scientific, data analysis, and machine learning
libraries. But there are many problems when starting out on a machine
learning project. Which library do you use? How do they compare to
each other? How can you use a model that has been trained in your
production app? In this talk I will discuss how you can use TensorFlow
to create Deep Learning applications. I will discuss how it compares
to other Python machine learning libraries, and how to deploy into
production.

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Python has lots of scientific, data analysis, and machine learning
libraries. But there are many problems when starting out on a machine
learning project. Which library do you use? How do they compare to
each other? How can you use a model that has been trained in your
production application?

TensorFlow is a new Open-Source framework created at Google for
building Deep Learning applications. Tensorflow allows you to
construct easy to understand data flow graphs in Python which form a
mathematical and logical pipeline. Creating data flow graphs allow
easier visualization of complicated algorithms as well as running the
training operations over multiple hardware GPUs in parallel.

In this talk I will discuss how you can use TensorFlow to create Deep
Learning applications. I will discuss how it compares to other Python
machine learning libraries like Theano or Chainer. Finally, I will
discuss how trained TensorFlow models could be deployed into a
production system using TensorFlow Serve.