El Bruno

Tag: English Post

#Event – Resources used on the Azure AI Fundamentals, intro to #AzureML @conosurtech

Hi ! Amazing session yesterday with my friends from ConoSurTech, Fernando, Ivana y Pablo. We had a great session with a high level overview around Azure Machine Learning, as part of the “Diplomado de AI Fundamentals 2020“ Diplomado de AI Fundamentals 2020 El diplomado consiste en clases online dictadas a partir del 20 de Octubre — read more

Oct 23, 2020
#JavaScript – Console-log-viewer.js an amazing script to overlay console in your HTML apps

Hi ! Yes, I know, I’m writing about JavaScript. It’s 2020, so anything can happen, and here I am, blogging about JavaScript. So, I’m learning a lot of TensorFlowJs, and having some kind of logging is a must. I’m a huge fan of Edge Developer Tools, however in some scenarios, like a browser in a — read more

Oct 21, 2020
#ML.NET Image Classification with ML.NET Command-Line Interface (CLI), no #VS2019 needed !

Hi ! I haven’t write a lot about ML.NET Command-Line Interface (CLI) (see references), and that’s a shame. It’s very powerful and also it supports most of the ML.Net features, like in example: Model Builder Image Classification scenario. The ML.NET CLI automates model generation for .NET developers. To use the ML.NET API by itself, (without — read more

Oct 20, 2020
#VS2019 – ML.NET Model Builder for Object Detection, be careful with file names and VoTT

Hi ! This is a sequel part after yesterday post on the new Model Builder Object Detection scenario. I’ve found this error, and it took me some time to figure out the reason. As usual, an error on the Model Builder, with very few details and the suggestion to check more details on the Azure — read more

Oct 14, 2020
#VS2019 – ML.NET Model Builder for Object Detection using #Azure Compute #mlnet #objectdetection

Hi ! There is a new scenario available in ML.Net Model Builder for Visual Studio 2019: Object Detection. This scenario is not just image tagging, this scenario allows us to detect objects in an image, and get the specific coordinates and size of the detected objects. As usual, it requires a starting data set with — read more

Oct 13, 2020
#Windows10 – My own list of prerequisites to install dlib: Visual Studio C++, CMake and Cuda dlls

Hi ! Another blog post reminder, this time related on prerequisites to install dlib. And before start, a dlib description: Dlib is a modern C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems. It is used in both industry and academia in a wide range — read more

Oct 9, 2020
#Tools – Add ZoomIt to Windows 10 Start Menu #Windows10

Hi ! Here it goes another post reminder, just for me. Every time I install a new Windows 10 instance, I need to search on how to add a .exe file as an application to the Windows Start Menu. So, I’ll use ZoomIt as the sample one and here are the steps. Disclaimer: if you — read more

Oct 8, 2020
#Event – Resources used on my session for the @netcoreconf

Hi ! Another huge and amazing events from my friends at the @netcoreconf, perfect excuse to talk about python, machine learning, computer vision and more. This one was also tricky, no slides, just code during 50 min so here are some related resources. Code The code used during the session is available here: https://github.com/elbruno/events/tree/main/2020%2010%2003%20Netcoreconf%20Virtual Session — read more

Oct 5, 2020
#Tools – Using an old #Android tablet as an additional monitor

Hi ! Please don’t ask me why, however today I was in the need to have a 3rd monitor to my current setup. And, somewhere during these days, I remember that someone commented about using an old iPad / Android tablet as an external monitor. We don’t do Apple at home (again, don’t ask me — read more

Oct 2, 2020
#Azure – How to push / export and run a docker python flask web app on Azure

Hi ! Here is an important reminder before starting: Please do not use as a guide to deploy to production environments. I was reading a lot about Azure Container Registry and other container scenarios. And most of the demos / tutorials are based on .Net Container Web Apps. Which is great, however there are no — read more

Oct 1, 2020
#VisualStudioCode – Create and use Code Snippets in @code, and create custom snippets just for your workspace

Updated version available here. Hi ! Code Snippets are super useful, and create your custom Code Snippets is super easy in Visual Studio Code. The official Documentation (see references) explains how to create snippets, with the full details of the JSON file, sections, contents and more. However there are some extra tips on top of — read more

Sep 30, 2020
#Event – Resources used on “Getting Started with Machine Learning .NET” for the Central Ohio .NET Developer’s Group (@CONDG)

Hi ! Great session yesterday with Matthew and the Central Ohio .NET Developer’s Group (CONDG). And the excuse was to talk about Machine Learning .Net. As usual, now it’s time for slides and code Slides Code The code used during the session is available here: https://github.com/elbruno/events/tree/main/2020%2009%2024%20CONDG%20MLNet Session Recording (I’ll update this block when the recording — read more

Sep 25, 2020
#Podcast – We are also in Spotify ! (still main source in iVoox! )

Hi ! Just a great Friday news: No Tiene Nombre (NTN) is also hosted in Spotify ! You can find the Spotify source here And, of course, we are still in iVoox: https://www.ivoox.com/podcast-bruno-no-tiene-nombre_sq_f1277993_1.html Awesome Friday news ! — read more

Sep 25, 2020
#MSIgnite – Book of news is available ! Also translated to Chinese, French, German, Italian, Japanese, Portuguese and Spanish #MSIgnite2020

Hi ! Awesome news from Microsoft Ignite 2020. We have access to the book of news, and it also have translations to support languages other than English. The Book of news is a guide to the key news items that we are announcing at Ignite, and instead of the usual PDF, now we have an — read more

Sep 23, 2020
#Personal – We have a “Learn to pronounce” feature in Google !

Hi ! Some days ago, while I was searching for the meaning of a word, I found an amazing feature in Google: Learn to pronounce And it’s very basic and amazing at the same time. You search for a definition of a word In the result area, you get the speaker button, who reproduces the — read more

Sep 22, 2020
#VS2019 – ML.NET Model Builder training using GPU, CPU and … Azure !

Hi ! I my previous posts on Model Builder, I show the differences between using the CPU and GPU to train a model. There is a 3rd option, which involves an Azure ML Experiment, and performs the training on the cloud. It took me some time, to setup this environment, mostly because I tried to — read more

Sep 21, 2020
#MSIgnite – FREE Microsoft Certification Voucher as part of the Cloud Skills Challenge

Hi ! Next week we will have the 1st virtual Ignite. I’m lucky enough to participate in a great AI session and while I’m building my agenda, I also realize that we have a Free Certification Voucher program, similar to the one that we had at Build 2020. Once you are registered to the event, — read more

Sep 18, 2020
#YoloV3 – Rapid Object detection with 5 lines of code ( @code and #Python for the win! )

Hi ! Sometime ago, I wrote a simple Python class a wrapper for YoloV3. This allows me to write 5 lines of code to analyze an image. Once I use this class, I only press F5 in Visual Studio Code and it’s magic: A sample usage will be similar to this one. The only required — read more

Sep 16, 2020
#Event – Getting Started with Machine Learning .NET

Hi ! I’m back to share some amazing ML.Net Experiences. This time with my friends from [Central Ohio .NET Developer’s Group (CONDG)] with a virtual event on [Thursday, September 24, 2020]. It’s been a while since my Machine Learning.Net sessions, so I’m creating one from scratch to cover all the amazing new features that we — read more

Sep 14, 2020
#VS2019 – ML.NET Model Builder GPU vs CPU test: 4 times faster !

Hi ! Yesterday I wrote about the new options that we have to train models in ML.Net Model Builder. The main new is that we have the option to use our GPU to train models. Quick recap, Model Builder supports 3 specific training environments Local (CPU) Local (GPU) Azure Yesterday I tested train a small — read more

Sep 9, 2020