EI2019 Short Course Description
SC23: Introduction to TensorFlow
Wednesday 16 January • 3:45 – 5:45 pm
Magnus Hyttsten, Google, Inc.
$185 / Non-member:
$210 / Student:
*after December 18, 2018, members / non-members prices increase by $50, student price increases by $20
TensorFlow is an open-source software library for machine learning. It is used to define, train, and test machine learning models, which can later be served on a variety of platforms - servers to mobile devices. In this workshop, you get an introduction using TensorFlow. We will go through the basics, and by the end of the course, you will know how to build deep neural network models on your own.
Prerequisites: Bring your laptop installed with TensorFlow by following instructions on "http://tensorflow.org". Alternatively, we can provide Google Cloud instances of TensorFlow that you can use (no installation required). If you have a Google Cloud account, we can also share a TensorFlow cloud image that you can use.
- Become familiar with TensorFlow programming environment.
- Learn how to build models related to regression and classification.
- Understand what deep neural networks are and how to build them.
- Create a deep neural network that is able to classify digits based on raw pixel input.
Scientists or developers that want to get started with TensorFlow.
Magnus Hyttsten is a senior staff developer advocate for TensorFlow at Google. He focuses on all things TensorFlow - from making sure that the developer community is happy to help developing the product. He has been speaking at many major events including Google I/O, AnDevCon, Machine Learning meetups, etc. Right now, he is fanatically and joyfully focusing on TensorFlow for Mobile as well as creating Reinforcement Learning models.
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