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