​Workshop: Object Detection with Deep Learning

Unique opportunity to dive into object detection with deep learning in an intimate and hands-on workshop, formerly hosted at Adrian Rosebrock's PyImageConf in San Francisco.

🚀 In this workshop you'll learn:

1. Overview of state-of-the-art Deep Learning for Computer Vision.
2. Implementation of the most important parts of the Faster R-CNN model (almost) from scratch.
3. Usage of Luminoth. In particular, we will walk through the most important functionalities and build a custom traffic related dataset to perform object detection.

The workshop will be given by Alan Descoins (CTO Tryolabs) and Agustín Azzinnari (Research Engineer Tryolabs) in Spanish.

👩‍💻 ​​Prerequisites to participate:

• ​​Familiar with Python and Jupyter Notebooks
• ​​Familiar with numpy
  ​​- Basic knowledge of Deep Learning and CNNs
  ​​- Nice to have: Experience with TensorFlow
• Computer to bring with you at the day of the workshop, preferably Mac or Linux
  ​​​​​​
  Free of cost. Limited spots.

👉​​ Pre-register at workshop@tryolabs.com with this information:

Name:
Surname:
Email:
Github account:
Experience with Python:
Experience with numpy:
Deep Learning knowledge:
Experience with Tensorflow:
Where did you hear about the event?

Application deadline: 9 November 2018

We'll evaluate your applications and let you know as soon as we have selected the participants.