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Great Reads

3 Tips for Developers to Improve Technical Presentations Using Open Source Jupyter Notebooks

by Jesse Casman

Using open source Jupyter Notebooks to show live code in your presentation

Building a Style Transfer CycleGAN from Scratch

by Abdulkader Helwan

In this article, we implement a CycleGAN with a residual-based generator.

COVID-19 Diagnosis Results with Deep Learning and ResNet50

by Abdulkader Helwan

In this article, we’ll discuss the COVID-19 detection results we’ve achieved with our model and compare these results with those of other models.

COVID-19 Diagnosis Using ResNet50 Transfer Learning: Building a DL Network from Scratch

by Abdulkader Helwan

In this article, we’ll show you how to build a network for Covid-19 detection from scratch.

Latest Articles

3 Tips for Developers to Improve Technical Presentations Using Open Source Jupyter Notebooks

by Jesse Casman

Using open source Jupyter Notebooks to show live code in your presentation

Building a Style Transfer CycleGAN from Scratch

by Abdulkader Helwan

In this article, we implement a CycleGAN with a residual-based generator.

COVID-19 Diagnosis Results with Deep Learning and ResNet50

by Abdulkader Helwan

In this article, we’ll discuss the COVID-19 detection results we’ve achieved with our model and compare these results with those of other models.

COVID-19 Diagnosis Using ResNet50 Transfer Learning: Building a DL Network from Scratch

by Abdulkader Helwan

In this article, we’ll show you how to build a network for Covid-19 detection from scratch.

All Articles

Jupyter

3 Tips for Developers to Improve Technical Presentations Using Open Source Jupyter Notebooks

by Jesse Casman

Using open source Jupyter Notebooks to show live code in your presentation

Building a Style Transfer CycleGAN from Scratch

by Abdulkader Helwan

In this article, we implement a CycleGAN with a residual-based generator.

COVID-19 Diagnosis Results with Deep Learning and ResNet50

by Abdulkader Helwan

In this article, we’ll discuss the COVID-19 detection results we’ve achieved with our model and compare these results with those of other models.

COVID-19 Diagnosis Using ResNet50 Transfer Learning: Building a DL Network from Scratch

by Abdulkader Helwan

In this article, we’ll show you how to build a network for Covid-19 detection from scratch.

COVID-19 Diagnosis with Deep Learning

by Abdulkader Helwan

In this article, we introduce transfer learning and ResNet50.

Creating Docker Containers for AI and Machine Learning

by Jarek Szczegielniak

In this article, we’ll start applying our basic Docker knowledge while creating and running containers in the various MLng scenarios.

Fine-tuning ResNet50 to Diagnose COVID-19

by Abdulkader Helwan

In this article, we’ll fine-tune our ResNet50 model.

Installing OpenCV and ImageAI for Object Detection

by Glenn Prince

In this article, we'll set up everything we need to build a hardhat detector with OpenCV.

Introducing Jupyter and Pandas

by Glenn Prince

This article is the first in the Data Cleaning with Python and Pandas series that helps working developers get up to speed on data science tools and techniques.

Mobile Style Transfer With Image-to-Image Translation

by Abdulkader Helwan

In this article, we discuss the concepts of conditional generative adversarial networks (CGAN).

Predicting Near Term COVID Death Rates

by Don Kackman

Using previous case and fatality numbers, predict future death rates based on current case counts

Preparing a Deep Learning Environment for COVID-19 Diagnosis

by Abdulkader Helwan

In this article, we’ll discuss materials and methods for this project.

Python Basics for Machine Learning and AI

by Thomas Daniels

This article provides some tips for experienced programmers to get up to speed with the basics of Python.

Restructuring ResNet50 to Diagnose COVID-19

by Abdulkader Helwan

In this article, we’ll work on restructuring ResNet50 to perform the new classification task.

Running AI Models in Docker Containers

by Jarek Szczegielniak

In this article, we’ll create a container to run a CPU inference on the trained model.

Streaming at Scale with Kafka and Azure HDInsight Part Three: Analyzing Streaming Data on HDInsight with PySpark

by David Norton

In this article we use PySpark to stream and analyze our data.