Our next class on Deep Learning for Computer Vision with TensorFlow 2.0 will be held on November 1, 2019 in Fremont, California.
This class is redesigned and updated to include the latest version of TensorFlow
Are you an engineer who wants to design intelligent computer vision systems that learn from complex or large-scale datasets?
Get the hands-on knowledge you need to develop deep learning computer vision applications—both on embedded systems and in the cloud—with TensorFlow, today’s most popular framework for deep learning.
WHO SHOULD ATTEND?
Get a rapid hands-on introduction to TensorFlow in our single-day course. We can help you get the skills you need.
Our one-day program will provide you with a hands-on overview of deep learning applications of TensorFlow.
The class runs 9 am to 5 pm with lunch and breaks. The class is a combination of lecture and lab exercises using Jupyter Notebooks. We cover the following topics:
Introduction to AI, machine learning, and TensorFlow 2.0
Neural networks in TensorFlow
Shallow image recognition
Deep image recognition
Convolutional neural networks
Data set creation and augmentation
Off-the-shelf network architectures; transfer learning