This full-day course will provide you with the hands-on knowledge you need to develop deep learning computer vision applications—both on embedded systems and in the cloud—with TensorFlow, one of today's most popular frameworks for deep learning.


July 13, 2017
Santa Clara, California
Hyatt Regency Santa Clara

Sept 7, 2017
Hamburg, Germany
Steigenberger Hotel

COMING SOON!


New training dates and locations will be announced soon! Sign up to receive updates on future trainings.


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WHO SHOULD ATTEND?

If you’re developing deep learning-based computer vision applications and want to use TensorFlow to do it, this course is for you! The only pre-requisites are a good understanding of Python (e.g., basic syntax and structure) and a basic knowledge of deep learning concepts. 


COURSE STRUCTURE

MORNING

Introduction to TensorFlow

  • What It Is, What It’s Used For

  • Graphs and Tensors

  • Basics of Building Graphs in TensorFlow

Neural Networks in TensorFlow

TensorBoard Visualization Tool

Exercises including: Fibonacci Sequence, Linear Regression and Recognition of Hand-Written Digits (MNIST Database)

 

AFTERNOON

Object Recognition in TensorFlow

  • Quick Refresher on Convolutional Neural Networks (CNNs)

  • Exploration of CNN Model for MNIST Demo

Training Data and Issues

Open Source CNN Models

Writing your own CNN model: TF-Slim and Keras

Exercises Including: CNN Model for MNIST, Transfer Learning for Object Recognition, Object Recognition from Video


July 13, 2017
 Santa Clara, California
Hyatt Regency Santa Clara

Seats are limited—register today!


Sept 17, 2017
Hamburg, Germany
Steigenberger Hotel

COMING SOON!

New training dates and locations will be announced soon!  Sign up to receive updates on future trainings.