#Event – Materiales utilizados durante #GlobalAINight con los amigos de @metrotorontoUG

 

Buenas !

Después de una noche genial con los amigos de Metro Toronto UG, llega el momento de compartir los materiales que utilice durante la sesión. La idea inicial era hablar un poco de Azure Notebooks, y de alguna manera terminamos hablando también de Cognitive Services y Custom Vision, fue genial!

Para comenzar, los 15 min con el video de la Keynote:

Mis Slides

Y algunos de los links que utilicé durante la sesión

My posts on Custom Vision and ONNX

  1. Object recognition with Custom Vision and ONNX in Windows applications using WinML
  2. Object recognition with Custom Vision and ONNX in Windows applications using WinML
  3. Object recognition with Custom Vision and ONNX in Windows applications using Windows ML, drawing frames
  4. Object recognition with Custom Vision and ONNX in Windows applications using Windows ML, calculate FPS
  5. Can’t install Docker on Windows 10 Home, need Pro or Enterprise
  6. Running a Custom Vision project in a local Docker Container
  7. Analyzing images in a Console App using a Custom Vision project in a Docker Container
  8. Analyzing images using PostMan from a Custom Vision project hosted in a Docker Container
  9. Building the CustomVision.ai project in Docker in a RaspberryPi
  10. Container dies immediately upon successful start in a RaspberryPi. Of course, it’s all about TensorFlow dependencies
  11. About ports, IPs and more to access a container hosted in a Raspberry Pi
  12. Average response times using a CustomVision.ai docker container in a RaspberryPi and a PC

Windows 10 and YOLOV2 for Object Detection Series

Saludos @ Toronto

El Bruno

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#Event – Resources used during the #GlobalAINight @metrotorontoUG

 

Hi  !

After an amazing event with my friends from Metro Toronto UG, it’s time to share some resources. It was initially supposed to be focused only on Azure Notebooks, but somehow we spend a lot of time talking about Cognitive Services and Custom Vision, that was great!

Let’s start with the 15 min Keynote video:

My Slides

And some interesting online resources

My posts on Custom Vision and ONNX

  1. Object recognition with Custom Vision and ONNX in Windows applications using WinML
  2. Object recognition with Custom Vision and ONNX in Windows applications using WinML
  3. Object recognition with Custom Vision and ONNX in Windows applications using Windows ML, drawing frames
  4. Object recognition with Custom Vision and ONNX in Windows applications using Windows ML, calculate FPS
  5. Can’t install Docker on Windows 10 Home, need Pro or Enterprise
  6. Running a Custom Vision project in a local Docker Container
  7. Analyzing images in a Console App using a Custom Vision project in a Docker Container
  8. Analyzing images using PostMan from a Custom Vision project hosted in a Docker Container
  9. Building the CustomVision.ai project in Docker in a RaspberryPi
  10. Container dies immediately upon successful start in a RaspberryPi. Of course, it’s all about TensorFlow dependencies
  11. About ports, IPs and more to access a container hosted in a Raspberry Pi
  12. Average response times using a CustomVision.ai docker container in a RaspberryPi and a PC

Windows 10 and YOLOV2 for Object Detection Series

Greetings @ Toronto

El Bruno

#Event – Slides of the session [Tips on how to earn an MVP award and what are the benefits] #MVPBuzz

Hi !

Quick post today, I’m dealing with tons of personal stuff and my blogging time is near to zero 😀

Yesterday I co-hosted a session with Ehsan (@ehsaneskandarim) about our experiences in the MVP program. It was nice to share some non technical content, and I hope I shocked some people with my Xbox Controller demo for a 5 years old kid.

By the way, my 2 main topics were related to

Please think on diversity for your technical communities. Include diverse people, invite diverse people, do fast talks, and more … When I read that @prsdkmt posted this tweet, I was happy that at least one person get the message

I’ve been working in Avanade for almost 14 years, and they always supported my MVP role. This is also very important if you are lucky to start this path

Job which supports MVP role, thanks Avanade

And of course, my slides :

Greetings @ Burlington

El Bruno

#Event – Resources used during: Getting started with Machine Learning.Net and WinML at @metrotorontoug

Hi!

Now it’s time to thanks Armin (@ArminPage), Ehsan (@ehsaneskandarim) and Luca (@lucavgobbi) from Metro Toronto .Net User Group. They invited me to share a session about 2 very cool topics: Machine learning.Net and Windows Machine Learning.

The event was great! full house, and as usual now it’s time to share some of the resources used during the sesion. Start with the slides and samples source code.

Source Code GitHub https://github.com/elbruno/events/tree/master/2018%2010%2003%20Metro%20Toronto%20MLNet

And after some amazing questions, here is a list of useful links:

Resources

Greetings @ Burlington

El Bruno

Bonus: Some pics }:D

#Event – Materiales de la sesión: Introducción a Machine Learning.Net con @metrotorontoug

Buenas!

Momento de agradecer a los amigos Armin (@ArminPage), Ehsan (@ehsaneskandarim) y Luca (@lucavgobbi) de Metro Toronto .Net User Group que me han dado la oportunidad de hablar en modo introducción sobre Machine learning.Net y Windows Machine Learning.

Como es habitual, ahora es el momento de compartir slides y Source Code de los ejemplos comentados ayer.

Muchas gracias por las preguntas y por el Feedback, todos 5 estrellas!

Source Code GitHub https://github.com/elbruno/events/tree/master/2018%2010%2003%20Metro%20Toronto%20MLNet

A continuación algunos recursos que comente en durante la sesión:

Resources

Saludos @ Toronto

El Bruno

Bonus: Algunas fotos del evento

#Event – Getting Started with ML.NET and Windows Machine Learning, October 3rd in Toronto @metrotorontoug

Hi!

It’s time to share some Machine Learning experiences and news , mostly for Net developers. This time is with my friends from Metro Toronto, on October the 3rd.

Getting Started with ML.NET and Windows Machine Learning

Machine Learning has moved out of the lab and into production systems. Understanding how to work with this technology is one of the essential skills for developers today. In this session, you will learn the basics of machine learning, how to use existing models and services in your apps, and how to get started with creating your own simple models.

In other words, if you are a .NET developer, this session is for you! We will cover the basics of ML.NET, a complete machine learning framework to work with C#, F# or any other .NET Core language.

Online registration https://www.meetup.com/metrotorontoug/events/254613846/ 

Happy Coding!

Greetings @ Burlington

El Bruno

#Event – Getting Started with ML.NET and Windows Machine Learning, proximo 3 de Octubre en Toronto @metrotorontoug

Buenas!

Otro evento Machine Learning, especialmente orientado para .Net developers. Esta vez con los amigos de Metro Toronto, el proximo 3 de Octubre .

Getting Started with ML.NET and Windows Machine Learning

Machine Learning has moved out of the lab and into production systems. Understanding how to work with this technology is one of the essential skills for developers today. In this session, you will learn the basics of machine learning, how to use existing models and services in your apps, and how to get started with creating your own simple models.

In other words, if you are a .NET developer, this session is for you! We will cover the basics of ML.NET, a complete machine learning framework to work with C#, F# or any other .NET Core language.

El registro se puede hacer desde aquí https://www.meetup.com/metrotorontoug/events/254613846/ 

Happy Coding!

Saludos @ Burlington

El Bruno