#Event – Resources used during the #GlobalAINight at @MarsDD

Hi!

It was a placer to share some amazing time with the Metro Toronto .Net User Group. Last night was also a special one, we hosted the event at the amazing @MarsDD it was great to have a huge group interested in Artificial Intelligence.

As usual, it’s time to share the resources of the event

Official Resources https://aka.ms/AA60hn1

This includes Workshops like

  • Creating applications that can see, hear, speak or understand – using Microsoft Cognitive Services
  • Learn how to train high accuracy machine learning models using automated machine learning
  • Crash course on building and accelerating deep learning solutions
  • And more.

It also includes a set of materials around Automated Machine Learning (AutoML).

And of course, my materials.

Slides

Source Code: https://github.com/elbruno/events/tree/master/2019%2009%2005%20Global%20AI%20Night

Happy Coding!

Greetings @ Toronto

El Bruno

Resources

Tweets

Advertisements

#Event – Great news for #GlobalAINight: new venue and final Agenda for Toronto

Hi !

The Global AI Night is a free evening event organized by 93 communities all over the world that are passionate about Artificial Intelligence on the Microsoft Azure. During this AI Night you will get inspired through sessions and get your hands dirty during the workshops. By the end of the night you will be able to infuse AI into your applications.

Please check the register link to find the NEW AMAZING VENUE we had: https://www.eventbrite.ca/e/global-ai-night-tickets-70625519831

And this is the final agenda

KeyNote

Creating applications that can see, hear, speak, understand and even read !

using Microsoft Cognitive Services. In this workshop you will be introduced to the Microsoft Azure Cognitive Services, a range of offerings you can use to infuse intelligence and machine learning into your applications without needing to build the code from scratch. We will cover pre-trained AI APIs, such as computer vision and text analytics, that are accessed by REST protocol. We will also feature one of the most recent and powerful Services: Form Recognizer. Form Recognizer applies advanced machine learning to accurately extract text, key/value pairs, and tables from documents. With just a few samples, Form Recognizer tailors its understanding to documents. Wrapping the workshop up by building our custom trained AI into an application

Introduction to ML.Net and AutoML

ML.Net is an open-source and cross-platform machine learning framework for .NET developers. Using ML.Net , developers can leverage their existing tools and skillsets to develop and infuse custom AI into their applications by creating custom machine learning models for common scenarios like Sentiment Analysis, Recommendation, Image Classification and more. AutoML (Automated Machine Learning) is a collection of new technologies from Microsoft to enhance the data science development process.
In this workshop you will be introduced to the core features and scenarios of ML.Net and also to the preview feature of Model Builder for AutoML.

Happy coding!

Greetings @ Toronto

El Bruno

#Event – Global AI Nights on Sept 5th!

Hi !

During August, I’ll be participating and supporting a couple of hackathons and work events (check my next events section!).

And I’m happy to share that on September 5th I’ll part of the Global AI Night in Toronto.

The Global AI Night is a free evening event organized by 88 communities all over the world that are passionate about Artificial Intelligence on the Microsoft Azure. During this AI Night you will get inspired through sessions and get your hands dirty during the workshops. By the end of the night you will be able to infuse AI into your applications.

The Toronto registration and information is available here https://global.ainights.com/bootcamp/8d354913-4243-4a9e-8c1d-a594dc7dbe69

As usual, the best way to explain this is with a video

Happy coding!

Greetings @ Rogers Cup

El Bruno

#Event – I’ll be at the Caribbean Developer Conference on October ! #CDC2019

Hi !

Wow, I’ll completely amazed because I’ll have the chance to share some Machine Learning, Custom Vision and other experiences in the Caribbean Developer Conference in October.

Caribbean Developer Conference

This event is great and as usual, the list of speakers is AMAZING!

I’ll share more details later, and in the meantime, if you want to know more, the 2018 video recap is a great way to

Happy Coding!

Greetings @ Toronto

El Bruno

#Event – Toronto #InsiderDevTour on June 19

Hi !

The Insider Dev Tour is for developers interested in building Microsoft 365 experiences (Windows, Graph, Office, Teams) today, using the latest dev technologies, as well as for those who want a peek into the future. If you can read code, this is for you, regardless if you are a beginner, an expert, a student, or a hobbyist developer.

The morning keynote session will give you a demo and code-focused overview of the new developer technology emerging from Redmond. It’s the best of Microsoft Build for Microsoft 365 developers. We’ll cover Windows, Graph, Office, AI, and more so that you are up-to-date and able to make informed decisions when choosing from the latest technology for your next project.

This is a 100 percent developer-focused event.

The tour is an opportunity to connect directly with leads and engineers from Redmond, as well as regional industry leaders and the community of Microsoft MVPs and RDs. We’re excited to meet you in person! #InsiderDevTour

More information https://developer.microsoft.com/en-us/windows/campaigns/ca-toronto

Greetings @ Toronto

El Bruno

#Event – Resources used on the Visual Studio 2019 Launch Party event on [Machine Learning.Net] #VS2019 #MLNET

Hi!

Another post-event post, this time with a big thanks to the Mississauga .Net User Group who organized the Visual Studio 2019 Launch Party.

I was part of the team sharing some demos, and I mostly speak about Machine Learning.Net.

As usual, now it’s time to share slides, code and more.

Source Code in GitHub https://github.com/elbruno/events/tree/master/2019%2004%2027%20GAB%20MLNet

And some Machine Learning.Net resources:

Resources

Happy coding!

Greetings @ Toronto

El Bruno

#Event – Resources for the sessions about #DeepLearning and #CustomVision at the @ChicagoCodeCamp

Hi!

Another post-event post, this time with a big thanks to the team behind one of the most amazing event I’ve been this year: Chicago CodeCamp.

I had the chance to meet a lot of amazing people, to learn a lot during the sessions and also to visit the great city of Chicago.

As usual, now it’s time to share slides, code and more.

Deep Learning for Everyone? Challenge Accepted!

Let’s start with the Deep Learning resources


Demos Source Code: https://github.com/elbruno/events/tree/master/2019%2005%2011%20Chicago%20CodeCamp%20Deep%20Learning

Session: How a PoC at home can scale to Enterprise Level using Custom Vision APIs

And also the [How a PoC at home can scale to Enterprise Level using Custom Vision APIs] resources

Demos Source Code: https://github.com/elbruno/events/tree/master/2019%2005%2011%20Chicago%20CodeCamp%20CustomVision

And finally, some Machine Learning.Net, Deep Learning and Custom Vision 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

See you next one in Chicago for some Deep Learning fun!

Happy coding!

Greetings @ Toronto

El Bruno

#Event – See you @ChicagoCodeCamp on May 11, 2019 for some Deep Learning and Custom Vision experiences

Hi !

I’m very lucky to be at the next Chicago CodeCamp with another session around Custom Vision:

How a PoC at home can scale to Enterprise Level using Custom Vision APIs

It all started with a DIY project to use Computer Vision for security cameras at home. A custom Machine Learning model is the core component used to analyze pictures to detect people, animals and more in a house environment. The AI processing is performed at the edge, in dedicated hardware and the collected information is stored in the cloud. The same idea can be applied to several CCTV scenarios, like parking lots, train stations, malls and more. However, moving this into enterprise scale brings a set of challenges, which are going to be described and explained in this session.

More Information: https://www.chicagocodecamp.com/ and remember that we will be also talking about Deep Learning.

Greetings @ Toronto

El Bruno

#Event – Resources for the session [Getting Started with Machine Learning.Net & #Azure] on the #GlobalAzure Bootcamp in GTA

Hi!

Another post-event post, this time with a big thanks to the team behind one of the biggest Community events globally: Global Azure Bootcamp.

Avanade Canada sponsored this session and I had the amazing chance to share some insights around Machine Learning.Net and Azure.

As usual, now it’s time to share slides, code and more.


Source Code in GitHub https://github.com/elbruno/events/tree/master/2019%2004%2027%20GAB%20MLNet

And some Machine Learning.Net and Azure Notebook resources:

Resources

See you next one in Chicago for some Deep Learning fun!

Happy coding!

Greetings @ Toronto

El Bruno

#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