In this tutorial, we build a vehicle classification model using VGG16 for feature extraction and XGBoost for classification! 🚗🚛🏍️ It will based on Tensorflow and Keras 🔍 What You’ll Learn 🔍: 🖼️ Part 1: We kick off by preparing our dataset, which consists of thousands of vehicle images across five categories. We demonstrate how to […]
How to Classify Vehicles: VGG16 Feature Extraction & XGBoost Read More »
malaria cell classification CNN is a practical way to learn how convolutional neural networks recognize patterns in microscope cell images. In this tutorial, you’ll build a complete pipeline in TensorFlow and Keras: preprocessing infected vs uninfected cell images, training a compact CNN, saving the best checkpoint, and running inference on a brand-new test image. This
Malaria Cell Classification CNN in TensorFlow (Keras) – Full Tutorial Read More »
Automating the analysis of medical imagery is one of the most impactful applications of AI today. In this guide, you will master Medical Image Segmentation with U-Net and TensorFlow by building a robust pipeline to isolate lung structures from chest X-rays. Many developers struggle with low accuracy in medical AI due to poor data handling
How to segment X-Ray lungs using UNet and Tensorflow Read More »
In clinical dermatology, deep learning pipelines are transforming early diagnostic screening. While standard image classification models only identify the presence of a disease, semantic segmentation allows us to chart precise tumor boundaries. In this comprehensive isic 2018 u-net tensorflow tutorial, you will build an end-to-end medical vision pipeline from scratch. We will design an encoder-decoder
TensorFlow U-Net++ for Skin Lesion Segmentation (Melanoma / ISIC 2018) Read More »
This tutorial provides a step-by-step guide on how to implement and train a U-Net Image Segmentation TensorFlow . The tutorial is divided into four parts: Part 1: Data Preprocessing and Preparation In this part, you load and preprocess the persons dataset, including resizing images and masks, converting masks to binary format, and splitting the data
U-Net Image Segmentation with TensorFlow/Keras (Oxford-IIIT Pets) Read More »
Deep Learning Image Segmentation with U-Net This tutorial demonstrates a complete U-Net image segmentation workflow. It is designed as a practical image segmentation tutorial, showing how deep learning image segmentation can be applied to Check out our tutorial here : https://youtu.be/ZiGMTFle7bw The tutorial is divided into four parts: Part 1: Data Preprocessing and Preparation In
U-Net Image Segmentation Tutorial | Deep Learning Image Segmentation Guide Read More »
This tutorial provides a step-by-step guide on how to implement and train a U-Net model for polyp segmentation using TensorFlow/Keras. The tutorial is divided into four parts: 🔹 Data Preprocessing and Preparation In this part, you load and preprocess the polyp dataset, including resizing images and masks, converting masks to binary format, and splitting the
U-net Medical Segmentation with TensorFlow and Keras (Polyp segmentation) Read More »
👁️ CNN Image Classification for Retinal Health Diagnosis with TensorFlow and Keras! 👁️ How to gather and preprocess a dataset of over 80,000 retinal images, build a CNN model , and train it that can accurately distinguish between these health categories. What You’ll Learn: 🔹 Data Collection and Preprocessing: Discover how to acquire and prepare
Build a CNN Model for Retinal Image Diagnosis Read More »
📽️ In our latest video tutorial, we will create a dog breed recognition model using the NasLarge pre-trained model 🚀 and a massive dataset featuring over 10,000 images of 120 unique dog breeds 📸. What You’ll Learn: 🔹 Data Preparation: We’ll begin by downloading a dataset of of more than 20K Dogs images, neatly categorized
120 Dog Breeds, more than 10,000 Images: Deep Learning Tutorial for dogs classification Read More »
Ireland is a dream for family road trips—short drives, cozy towns, castles, green valleys, and cliffside views that make everyone go quiet for a second. This itinerary is exactly what we did as a family, refined with lessons learned, prices, parking tips, and easy alternatives for rainy hours. We designed this Ireland trip for scenery