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TensorFlow tutorials

How to Train U‑Net EfficientNet-B0 for Water Segmentation

Water segmentation with U-Net EfficientNet B0

Introduction Training modern image segmentation models has become more accessible thanks to powerful pretrained backbones and flexible deep learning frameworks.One of the most effective combinations today is How to Train U-Net EfficientNet B0 for Water Segmentation, which merges a proven segmentation architecture with a lightweight yet expressive encoder.This approach is especially well-suited for satellite imagery, […]

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How to Use UNETR for Multiclass Image Segmentation

multiclass image segmentation

Introduction Multiclass image segmentation is a powerful deep learning approach that allows us to separate an image into multiple meaningful regions, where each pixel is assigned to a specific category. Instead of simply deciding whether a pixel belongs to an object or not, multiclass image segmentation goes further and recognizes several different classes within the

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How To Actually Fine-Tune MobileNetV2 | Classify 9 Fish Species

How To Actually Fine-Tune MobileNetV2 | Classify 9 Fish Species

🎣 Classify Fish Images Using MobileNetV2 & TensorFlow 🧠 In this hands-on video, I’ll show you how I built a deep learning model that can classify 9 different species of fish using MobileNetV2 and TensorFlow 2.10 — all trained on a real Kaggle dataset! This Tensorflow image recognition tutorial covers from dataset splitting to live

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How to classify Malaria Cells using Convolutional neural network

CNN - Malaria

This tutorial provides a step-by-step easy guide on how to implement and train a CNN model for Malaria cell classification using TensorFlow and Keras. 🔍 What You’ll Learn 🔍:  Data Preparation — In this part, you’ll download the dataset and prepare the data for training. This involves tasks like preparing the data , splitting into training

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U-Net Image Segmentation with TensorFlow/Keras (Oxford-IIIT Pets)

Unet Animals

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

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U-Net Image Segmentation Tutorial | Deep Learning Image Segmentation Guide

Unet - segment people

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

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Build a CNN Model for Retinal Image Diagnosis

Tensorflow retinal eye

👁️ 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

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120 Dog Breeds, more than 10,000 Images: Deep Learning Tutorial for dogs classification

dog breed recognition

📽️ 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

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Dinosaur Image Classification with a Convolutional Neural Network (Keras/TensorFlow)

Tensorflow dinosaor

Introduction Welcome to our comprehensive Dinosaur Image Classification Tutorial! Let’s learn a simple way for Dinosaur lower Classifications 🦕 Check out our tutorial here : https://www.youtube.com/watch?v=ZhTGcw0C3Dk Link for the full code here : https://eranfeit.lemonsqueezy.com/buy/f4d35093-1b80-4643-821c-45b407b0b348 or here : https://ko-fi.com/s/a902042be9 This hands-on tutorial walks you through building a Convolutional Neural Network (CNN) to classify 5 dinosaur categories

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