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The official Jupyter Conference
August 22-23, 2017: Training
August 23-25, 2017: Tutorials & Conference
New York, NY

In-Person Training
Machine learning with TensorFlow and Jupyter

Robert Schroll (The Data Incubator)
Tuesday, August 22 & Wednesday, August 23, 9:00am - 5:00pm
Location: Concourse C Level: Intermediate

SOLD OUT

Average rating: ***..
(3.50, 2 ratings)

Participants should plan to attend both days of this 2-day training course. Platinum and Training passes do not include access to tutorials on Wednesday.

Robert Schroll introduces TensorFlow's capabilities through its Python interface with a series of Jupyter notebooks, moving from building machine learning algorithms piece by piece to using the higher-level abstractions provided by TensorFlow. You'll then use this knowledge to build and visualize machine learning models on real-world data.

What you'll learn, and how you can apply it

  • Learn how to set up basic computations in TensorFlow
  • Explore several machine learning algorithms and see their low-level implementation in TensorFlow
  • Discover higher-level APIs more suitable for use in production

This training is for you because...

  • You're a developer with some Python experience who needs an introduction to TensorFlow and machine learning.

Prerequisites:

  • Basic knowledge of Python and Jupyter notebooks

Hardware and/or installation requirements:

  • A laptop with an up-to-date version of Chrome or Firefox installed

Robert Schroll introduces TensorFlow’s capabilities through its Python interface with a series of Jupyter notebooks, moving from building machine learning algorithms piece by piece to using the higher-level abstractions provided by TensorFlow. You’ll then use this knowledge to build and visualize machine learning models on real-world data.

Outline

Day 1:
Introduction to TensorFlow
Iterative algorithms
Machine learning
Basic neural networks
Day 2:
Deep neural networks
Variational autoencoders
Convolutional neural networks
Adversarial noise
DeepDream
Recurrent neural networks

About your instructor

Photo of Robert Schroll

Robert Schroll is a data scientist in residence at the Data Incubator. Previously, he held postdocs in Amherst, Massachusetts, and Santiago, Chile, where he realized that his favorite parts of his job were teaching and analyzing data. He made the switch to data science and has been at the Data Incubator since. Robert holds a PhD in physics from the University of Chicago.

Conference registration

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