Articles by Jarek Szczegielniak (Articles: 22)

Articles: 22

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Artificial Intelligence
Machine Learning	Setting up macOS for ML and AI Development 26 Aug 2020 Updated: 26 Aug 2020 Rating: 5.00/5 Votes: 5 Popularity: 3.49 Licence: CPOL Views: 7,911 Bookmarked: 3 Downloaded: 42 Please Sign up or sign in to vote. In this article we prepare our development environment.
	Converting ONNX Image Classification Models to Core ML 27 Aug 2020 Updated: 27 Aug 2020 Rating: 5.00/5 Votes: 3 Popularity: 2.39 Licence: CPOL Views: 9,753 Bookmarked: 2 Downloaded: 55 Please Sign up or sign in to vote. In this article we'll convert a ResNet model to the Core ML format.
	AI Image Classification on iOS with ResNet 28 Aug 2020 Updated: 28 Aug 2020 Rating: 5.00/5 Votes: 3 Popularity: 2.39 Licence: CPOL Views: 7,721 Bookmarked: 4 Downloaded: 0 Please Sign up or sign in to vote. Having converted a ResNet model to the Core ML format in the previous article, in this article we’ll now use it in a simple iOS application.
	Preparing Data for AI Image Classification on iOS 31 Aug 2020 Updated: 31 Aug 2020 Rating: 5.00/5 Votes: 3 Popularity: 2.39 Licence: CPOL Views: 5,283 Bookmarked: 2 Downloaded: 38 Please Sign up or sign in to vote. In this article we’ll start data preparation for this new, custom model, to be later trained using the Create ML framework.
	Building an AI Image Classification Model for iOS Using Create ML and Core ML 1 Sep 2020 Updated: 1 Sep 2020 Rating: 5.00/5 Votes: 5 Popularity: 3.49 Licence: CPOL Views: 7,383 Bookmarked: 0 Downloaded: 59 Please Sign up or sign in to vote. In this article we can proceed to train our custom hot dog detection model using Apple’s Create ML.
	Containerized AI and Machine Learning: Overview 23 Apr 2021 Updated: 23 Apr 2021 Rating: 5.00/5 Votes: 4 Popularity: 3.01 Licence: CPOL Views: 5,600 Bookmarked: 7 Downloaded: 0 Please Sign up or sign in to vote. In this article – the first one of the series – we’ll go over some Docker basics as they apply to ML applications.
	Creating Docker Containers for AI and Machine Learning 26 Apr 2021 Updated: 26 Apr 2021 Rating: 5.00/5 Votes: 3 Popularity: 2.39 Licence: CPOL Views: 7,040 Bookmarked: 5 Downloaded: 104 Please Sign up or sign in to vote. In this article, we’ll start applying our basic Docker knowledge while creating and running containers in the various MLng scenarios.
	Exposing Dockerized AI Models via RESTful API 20 May 2021 Updated: 20 May 2021 Rating: 5.00/5 Votes: 2 Popularity: 1.51 Licence: CPOL Views: 4,780 Bookmarked: 2 Downloaded: 56 Please Sign up or sign in to vote. In this article, we’ll modify our code to expose the same logic via a Rest API service.
	Debugging AI Code Running in a Docker Container 21 May 2021 Updated: 21 May 2021 Rating: 5.00/5 Votes: 3 Popularity: 2.39 Licence: CPOL Views: 6,421 Bookmarked: 3 Downloaded: 39 Please Sign up or sign in to vote. In this article we use Visual Studio Code to edit and debug our increasingly complex code running inside a Docker container.
	Deploying AI Docker Containers to the Cloud 25 May 2021 Updated: 25 May 2021 Rating: 5.00/5 Votes: 3 Popularity: 2.39 Licence: CPOL Views: 4,960 Bookmarked: 3 Downloaded: 32 Please Sign up or sign in to vote. In this article, we publish our NLP API service to Azure using Azure Container Instances.
Neural Networks	Converting an ONNX Object Detection Model to iOS Core ML 20 Nov 2020 Updated: 21 Nov 2020 Rating: 5.00/5 Votes: 7 Popularity: 4.23 Licence: CPOL Views: 7,682 Bookmarked: 0 Downloaded: 90 Please Sign up or sign in to vote. In this series, we’ll use a pretrained model to create an iOS application that will detect multiple persons and objects in a live camera feed rather than in a static picture.
	Decoding a Core ML YOLO Object Detector 23 Nov 2020 Updated: 23 Nov 2020 Rating: 5.00/5 Votes: 3 Popularity: 2.39 Licence: CPOL Views: 6,582 Bookmarked: 0 Downloaded: 80 Please Sign up or sign in to vote. In this article, we will decode the Core ML YOLO Model by transforming an array of abstract numbers to a human-readable form.
	Decoding a YOLO Core ML Object Detector Using Array Operations 24 Nov 2020 Updated: 24 Nov 2020 Rating: 5.00/5 Votes: 2 Popularity: 1.51 Licence: CPOL Views: 4,292 Bookmarked: 0 Downloaded: 48 Please Sign up or sign in to vote. In the next article, we’ll do the same but with array operations. This will allow us to include the decoding logic directly in the model.
	Creating a YOLO Core ML Object Detector with Decoding Logic 25 Nov 2020 Updated: 25 Nov 2020 Rating: 5.00/5 Votes: 2 Popularity: 1.51 Licence: CPOL Views: 5,713 Bookmarked: 2 Downloaded: 52 Please Sign up or sign in to vote. In this article we are ready to include detection decoding directly in the Core ML model.
	Building a Core ML Pipeline for the iOS Vision Framework 26 Nov 2020 Updated: 26 Nov 2020 Rating: 5.00/5 Votes: 3 Popularity: 2.39 Licence: CPOL Views: 5,518 Bookmarked: 2 Downloaded: 62 Please Sign up or sign in to vote. In this article we’ll create a Core ML pipeline to be our end-to-end model.
	iOS Object Detection with Live Camera Preview 27 Nov 2020 Updated: 27 Nov 2020 Rating: 5.00/5 Votes: 2 Popularity: 1.51 Licence: CPOL Views: 5,593 Bookmarked: 1 Downloaded: 97 Please Sign up or sign in to vote. In the next article, we’ll start working on the iOS application that will use that model.
	Building an Object Detection iOS App with YOLO Core ML Model 30 Nov 2020 Updated: 30 Nov 2020 Rating: 5.00/5 Votes: 2 Popularity: 1.51 Licence: CPOL Views: 12,290 Bookmarked: 4 Downloaded: 566 Please Sign up or sign in to vote. In this last article in this series, we’ll extend the application to use our YOLO v2 model for object detection.
Tensorflow	Running AI Models in Docker Containers 27 Apr 2021 Updated: 27 Apr 2021 Rating: 5.00/5 Votes: 2 Popularity: 1.51 Licence: CPOL Views: 9,504 Bookmarked: 2 Downloaded: 85 Please Sign up or sign in to vote. In this article, we’ll create a container to run a CPU inference on the trained model.
	Running AI Models in Docker Containers on ARM Devices 27 Apr 2021 Updated: 27 Apr 2021 Rating: 5.00/5 Votes: 2 Popularity: 1.51 Licence: CPOL Views: 6,961 Bookmarked: 4 Downloaded: 95 Please Sign up or sign in to vote. In this article, we’ll adapt our image for Raspberry Pi with an ARM processor.
	Running AI Models in GPU-Enabled Docker Containers 29 Apr 2021 Updated: 29 Apr 2021 Rating: 5.00/5 Votes: 3 Popularity: 2.39 Licence: CPOL Views: 9,044 Bookmarked: 5 Downloaded: 95 Please Sign up or sign in to vote. In this article we go back to the Intel/AMD CPUs. This time, we will speed up our calculations using a GPU.
	Multi-Stage Docker Builds for AI Object Detection 18 May 2021 Updated: 18 May 2021 Rating: 5.00/5 Votes: 3 Popularity: 2.39 Licence: CPOL Views: 6,251 Bookmarked: 3 Downloaded: 62 Please Sign up or sign in to vote. In this article we run inference on sample images with TensorFlow using a containerized Object Detection API environment.
	Dockerized AI on Large Models With NLP and Transformers 19 May 2021 Updated: 19 May 2021 Rating: 5.00/5 Votes: 4 Popularity: 3.01 Licence: CPOL Views: 6,670 Bookmarked: 3 Downloaded: 51 Please Sign up or sign in to vote. In this article we run an inference model for NLP using models persisted on a Docker volume.
	Python Machine Learning on Azure Part 1: Creating an XGBoost Model with Python, VS Code, and Azure ML 12 Jan 2022 Updated: 12 Jan 2022 Rating: 5.00/5 Votes: 2 Popularity: 1.51 Licence: CPOL Views: 7,942 Bookmarked: 9 Downloaded: 0 Please Sign up or sign in to vote. How to use Visual Studio Code with Machine Learning extensions to train an XGBoost model on Azure
	Python Machine Learning on Azure Part 2: Creating a PyTorch Model with Python, GitHub Codespaces, and Azure ML 13 Jan 2022 Updated: 13 Jan 2022 Rating: 5.00/5 Votes: 1 Popularity: 0.00 Licence: CPOL Views: 3,971 Bookmarked: 2 Downloaded: 0 Please Sign up or sign in to vote. How to use GitHub Codespaces and GitHub Actions to automatically train a PyTorch model after each push of changes to a repository
	Python Machine Learning on Azure Part 3: Creating a TensorFlow Model with Python and Azure ML Studio 14 Jan 2022 Updated: 14 Jan 2022 Rating: 5.00/5 Votes: 2 Popularity: 1.51 Licence: CPOL Views: 4,590 Bookmarked: 7 Downloaded: 0 Please Sign up or sign in to vote. How to train within an Azure Machine Learning workspace using a TensorFlow model
Hosted Services
Azure	Deploying Models at Scale on Azure - Part 1: Deploying XGBoost Models 28 Mar 2022 Updated: 28 Mar 2022 Rating: 5.00/5 Votes: 5 Popularity: 3.49 Licence: CPOL Views: 5,321 Bookmarked: 2 Downloaded: 0 Please Sign up or sign in to vote. How to publish XGBoost and PyTorch models using Azure App Service, Flask, FastAPI, and machine learning online endpoints
	Deploying Models at Scale on Azure - Part 2: Deploying and Scaling PyTorch Models 29 Mar 2022 Updated: 29 Mar 2022 Rating: 5.00/5 Votes: 3 Popularity: 2.39 Licence: CPOL Views: 4,981 Bookmarked: 2 Downloaded: 0 Please Sign up or sign in to vote. How to deploy and scale PyTorch models
	Deploying Models at Scale on Azure - Part 3: Deploying and Scaling TensorFlow Models 30 Mar 2022 Updated: 30 Mar 2022 Rating: 5.00/5 Votes: 2 Popularity: 1.51 Licence: CPOL Views: 4,980 Bookmarked: 3 Downloaded: 0 Please Sign up or sign in to vote. How to publish a TensorFlow model

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Jarek Szczegielniak

Architect

Poland

Jarek has two decades of professional experience in software architecture and development, machine learning, business and system analysis, logistics, and business process optimization.
He is passionate about creating software solutions with complex logic, especially with the application of AI.