CBF Workshop: Machine Learning Classification Part 1
October 28, 2017
CBF Workshop Faster Machine Learning with IBM PowerAI
October 30, 2017
About the Event:

TensorFlow is an open-source software library for Deep Learning originally developed by the Google Brain Team. Released in November 2015, TensorFlow has been rapidly gaining adoption in both the industry and academia and has been put to use in many successful projects at Google such as translation, speech to text, Gmail smart reply, etc. The platform provides a rich library of algorithms and utilities for data science, as well as essential developer tools.

In this hand-on programming class, we will begin with a quick overview of TensorFlow and a fun demo. Then we will dive into key programming concepts and code two Deep Learning models for the MNIST problem. Since the domain is image classification, we will describe the relevant algorithms (convolution, softmax) and walk through the thought process in designing a neural network. We will also put to use the developer tools: tfdbg for debugging and TensorBoard for visualization.

To prepare for the class, please install TensorFlow and Python on your laptop. You can find instructions on the site https://www.tensorflow.org/install/

James Nash

IBM Cognitive Technical Leader for NA


James Nash, IBM Cognitive Technical Leader for NA with the Washington Systems Center (formerly known as ATS). James provides deep focus on the PowerAI stack running on Power servers. He is based in Coppell, Texas but supports activities across North America. While at IBM he has spent time working in product support, teaching PowerVM workshops, and speaking at conferences around the world. Areas of interest include TensorFlow, Caffe, Python, PyTorch and container technologies.

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