Introduction to TensorFlow™

Washington, D.C. campuses

GA D.C., 1776
1133 15th Street NW, 8th Floor
Washington D.C. 20005

GA D.C. (Northern Virginia)
2231 Crystal Drive #1000
Arlington VA 22202

Introduction to TensorFlow™

Washington, D.C.

Washington, D.C. campuses

GA D.C., 1776
1133 15th Street NW, 8th Floor
Washington D.C. 20005

GA D.C. (Northern Virginia)
2231 Crystal Drive #1000
Arlington VA 22202

About this workshop

Neural Networks are everywhere! They power self-driving cars; speech recognition, e.g. Apple’s Siri and Amazon’s Alexa; Google and Facebook’s computer vision systems; automatic diagnoses of medical imagery; drug discovery; and plethora of other applications. Successes in AI are driven by neural networks. These successes are also driving significant investments in people who can train and scale neural networks technology — starting offers being high as $1 million per year (http://nyti.ms/1RBj2UF).

By end of the class, students will have foundational understanding of what TensorFlow™ is, how to effectively train neural networks using TensorFlow™, and use it to solve their own data science problems.

Takeaways

  • Train neural networks using TensorFlow™
  • Build an end-to-end deep learning applications with TensorFlow™
  • Visualize what their machine learning models have learned using TensorBoard
  • Apply neural networks to identify artistic style from paintings of famous painters

Prereqs & Preparation

Students should have familiarity with Python and install TensorFlow™ and other relevant Python packages related to the material before class. The instructor will send out the necessary installation details before the class.

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