Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA

In-Person Training
Machine learning with TensorFlow

Robert Schroll (The Data Incubator), Dana Mastropole (The Data Incubator)
Monday, March 5 & Tuesday, March 6, 9:00am - 5:00pm

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

The TensorFlow library enables the use of data flow graphs for numerical computations, with automatic parallelization across several CPUs or GPUs, making it ideal for implementing neural networks and other machine learning algorithms. Robert Schroll and Dana Mastropole demonstrate TensorFlow's capabilities and walk you through building machine learning models on real-world data.

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

  • Understand TensorFlow's capabilities

Prerequisites:

  • Familiarity with Python

Hardware and/or installation requirements:

  • A laptop with a modern version of Chrome or Firefox installed

The TensorFlow library enables the use of data flow graphs for numerical computations, with automatic parallelization across several CPUs or GPUs, making it ideal for implementing neural networks and other machine learning algorithms. Robert Schroll and Dana Mastropole demonstrate TensorFlow’s capabilities through its Python interface and walk you through building machine learning models on real-world data piece by piece to using the higher-level abstractions provided by TensorFlow.

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 instructors

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.

Photo of Dana Mastropole

Dana Mastropole is a data scientist in residence at the Data Incubator and contributes to curriculum development and instruction. Previously, Dana taught elementary school science after completing MIT’s Kaufman teaching certificate program. She studied physics as an undergraduate student at Georgetown University and holds a master’s in physical oceanography from MIT.

Conference registration

Get the Platinum pass or the Training pass to add this course to your package. .

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Comments

Picture of Sophia DeMartini
Sophia DeMartini | SENIOR SPEAKER MANAGER
01/24/2018 8:19am PST

Hi Yingpei – sorry for the delay in getting back to you – the prerequisites for this training are that attendees should be familiar with Python, and should should come with a computer with a modern version of Chrome or Firefox. That’s it! Please let us know if you have any other quesitons.

Thank you,
Sophia

Yingpei He | SR DATA SCIENTIST
01/19/2018 6:38am PST

What prerequisites do we need for this class?