Articles by Abdulkader Helwan (Articles: 19)

Articles: 19

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Average article rating: 4.87

Artificial Intelligence
Deep Learning	Mobile Style Transfer With Image-to-Image Translation 14 Jun 2021 Updated: 14 Jun 2021 Rating: 4.60/5 Votes: 2 Popularity: 1.38 Licence: CPOL Views: 4,130 Bookmarked: 2 Downloaded: 61 Please Sign up or sign in to vote. In this article, we discuss the concepts of conditional generative adversarial networks (CGAN).
Keras	COVID-19 Diagnosis with Deep Learning 12 Feb 2021 Updated: 12 Feb 2021 Rating: 3.40/5 Votes: 5 Popularity: 2.38 Licence: CPOL Views: 5,560 Bookmarked: 1 Downloaded: 107 Please Sign up or sign in to vote. In this article, we introduce transfer learning and ResNet50.
	Preparing a Deep Learning Environment for COVID-19 Diagnosis 16 Feb 2021 Updated: 16 Feb 2021 Rating: 5.00/5 Votes: 3 Popularity: 2.39 Licence: CPOL Views: 6,550 Bookmarked: 5 Downloaded: 91 Please Sign up or sign in to vote. In this article, we’ll discuss materials and methods for this project.
	Restructuring ResNet50 to Diagnose COVID-19 17 Feb 2021 Updated: 17 Feb 2021 Rating: 5.00/5 Votes: 2 Popularity: 1.51 Licence: CPOL Views: 5,070 Bookmarked: 2 Downloaded: 64 Please Sign up or sign in to vote. In this article, we’ll work on restructuring ResNet50 to perform the new classification task.
	Fine-tuning ResNet50 to Diagnose COVID-19 18 Feb 2021 Updated: 18 Feb 2021 Rating: 5.00/5 Votes: 2 Popularity: 1.51 Licence: CPOL Views: 6,311 Bookmarked: 0 Downloaded: 71 Please Sign up or sign in to vote. In this article, we’ll fine-tune our ResNet50 model.
	COVID-19 Diagnosis Results with Deep Learning and ResNet50 19 Feb 2021 Updated: 19 Feb 2021 Rating: 5.00/5 Votes: 1 Popularity: 0.00 Licence: CPOL Views: 4,590 Bookmarked: 0 Downloaded: 39 Please Sign up or sign in to vote. 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 22 Feb 2021 Updated: 22 Feb 2021 Rating: 5.00/5 Votes: 2 Popularity: 1.51 Licence: CPOL Views: 5,260 Bookmarked: 0 Downloaded: 78 Please Sign up or sign in to vote. In this article, we’ll show you how to build a network for Covid-19 detection from scratch.
	Preparing Data for AI Fashion Classification 16 Mar 2021 Updated: 16 Mar 2021 Rating: 5.00/5 Votes: 3 Popularity: 2.39 Licence: CPOL Views: 6,430 Bookmarked: 5 Downloaded: 0 Please Sign up or sign in to vote. In this article we’ll show you how to use transfer learning to fine-tune the VGG19 model to classify fashion clothing categories.
	Fine-tuning VGG16 to Classify Clothing 17 Mar 2021 Updated: 17 Mar 2021 Rating: 5.00/5 Votes: 3 Popularity: 2.39 Licence: CPOL Views: 6,460 Bookmarked: 5 Downloaded: 0 Please Sign up or sign in to vote. In this article we show you how to train VGG19 to recognize what people are wearing.
	Running AI Fashion Classification on Real Data 18 Mar 2021 Updated: 18 Mar 2021 Rating: 5.00/5 Votes: 4 Popularity: 3.01 Licence: CPOL Views: 6,180 Bookmarked: 4 Downloaded: 0 Please Sign up or sign in to vote. In this article we evaluate VGG19 using real images taken by a phone camera.
	Generate New Fashion Designs with a Generative Adversarial Network (GAN) 19 Mar 2021 Updated: 19 Mar 2021 Rating: 5.00/5 Votes: 2 Popularity: 1.51 Licence: CPOL Views: 8,820 Bookmarked: 6 Downloaded: 0 Please Sign up or sign in to vote. In this article we show you how to build a Generative Adversarial Network (GAN) for fashion design generation.
	Training and Running a GAN for Fashion Design Generation 22 Mar 2021 Updated: 22 Mar 2021 Rating: 5.00/5 Votes: 3 Popularity: 2.39 Licence: CPOL Views: 6,250 Bookmarked: 5 Downloaded: 0 Please Sign up or sign in to vote. In this article we show you how to train the GAN for fashion design generation.
	Using CycleGAN for Mobile Style Transfer 15 Jun 2021 Updated: 15 Jun 2021 Rating: 5.00/5 Votes: 1 Popularity: 0.00 Licence: CPOL Views: 3,510 Bookmarked: 0 Downloaded: 39 Please Sign up or sign in to vote. In this article, we discuss the CycleGAN architecture.
	Building a Mobile Style Transfer CycleGAN with Keras 16 Jun 2021 Updated: 16 Jun 2021 Rating: 0.00/5 Votes: 0 Popularity: 0.00 Licence: CPOL Views: 3,420 Bookmarked: 2 Downloaded: 33 Please Sign up or sign in to vote. In this article, we implement a CycleGAN from scratch.
	Training a Running a Deep CycleGAN for Mobile Style Transfer 17 Jun 2021 Updated: 17 Jun 2021 Rating: 5.00/5 Votes: 1 Popularity: 0.00 Licence: CPOL Views: 3,271 Bookmarked: 1 Downloaded: 23 Please Sign up or sign in to vote. In this article, we train a CycleGAN with a U-Net-based generator.
	Building a Style Transfer CycleGAN from Scratch 18 Jun 2021 Updated: 18 Jun 2021 Rating: 5.00/5 Votes: 1 Popularity: 0.00 Licence: CPOL Views: 3,980 Bookmarked: 1 Downloaded: 49 Please Sign up or sign in to vote. In this article, we implement a CycleGAN with a residual-based generator.
	Converting a Style Transfer Model from TensorFlow to TensorFlow Lite 27 Jul 2021 Updated: 27 Jul 2021 Rating: 5.00/5 Votes: 2 Popularity: 1.51 Licence: CPOL Views: 3,550 Bookmarked: 2 Downloaded: 351 Please Sign up or sign in to vote. In this project, our aim is to run a mobile Image-to-Image translation model on the Android platform.
Tensorflow	Deep Learning for Fashion Classification 15 Mar 2021 Updated: 15 Mar 2021 Rating: 4.83/5 Votes: 5 Popularity: 3.37 Licence: CPOL Views: 11,910 Bookmarked: 4 Downloaded: 5,324 Please Sign up or sign in to vote. In this series of articles, we’ll showcase an AI-powered deep learning system that can revolutionize the fashion design industry by helping us better understand customers’ needs.
	Adding an AI Style Transfer TensorFlow Lite Model to an Android App 28 Jul 2021 Updated: 28 Jul 2021 Rating: 4.86/5 Votes: 3 Popularity: 2.32 Licence: CPOL Views: 4,900 Bookmarked: 9 Downloaded: 0 Please Sign up or sign in to vote. In this article, we show you how to set up an Android Studio environment that is suitable for loading and running our .tflite model.

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Abdulkader Helwan

Engineer

Lebanon

Dr. Helwan is a machine learning and medical image analysis enthusiast.

His research interests include but not limited to Machine and deep learning in medicine, Medical computational intelligence, Biomedical image processing, and Biomedical engineering and systems.