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.


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

Sept 7, 2017
Hamburg, Germany
Steigenberger Hotel



shutterstock_517213684.jpg

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

Exercises including: Linear Regression, Logistic Regression (Recognition of Hand-Written Digits with MNIST Database)

 

AFTERNOON

Object Recognition in TensorFlow

  • Quick Refresher on Neural Networks: Shallow, Deep, and Convolutional
  • Exploration of CNN Model for MNIST Demo

Training Data and Issues

Open Source CNN Models

Exercises Including: Deep Model for MNIST, TensorBoard Visualization Tool, Convolutional (CNN) MNIST model


Seats are limited—register today!


Sept 7, 2017
Hamburg, Germany
Steigenberger Hotel

 

 

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