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TensorFlow tutorials

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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Creating an Animal Segmentation Model with U-Net and TensorFlow Keras

Unet Animals

This tutorial provides a step-by-step guide on how to implement and train a U-Net model for animals segmentation using TensorFlow/Keras. 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

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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 lower Classifications using Convolutional Neural Network

Tensorflow dinosaor

Introduction Welcome to our comprehensive Dinosaur Image Classification Tutorial! Let’s learn a simple way for Dinosaur lower Classifications 🦕 We’ll learn how use Convolutional Neural Network (CNN) to classify 5 dinosaur categories , based on 200 images : Check out our tutorial here : https://www.youtube.com/watch?v=ZhTGcw0C3Dk You can find more tutorials, and join my newsletter here

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How to Segment Skin Melanoma using ResUnet

How to Segment Skin Melanoma using Res-Unet

Introduction – Skin Melanoma Segmentation using ResUnet This tutorial provides a step-by-step guide on how to implement and train a ResUNet model for skin Melanoma detection and segmentation using TensorFlow and Keras. What You’ll Learn : Explore how to generate masks that highlight Melanoma regions within the images. Visualizing Results: See the results in real-time

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How to build a Facial Emotion Detection Model using Deep learning

emotion detection model using TensorFlow

Building a Facial Emotion Detection Model with Deep Learning Introduction Emotion detection has become one of the most exciting applications of computer vision and deep learning. By using facial emotion recognition techniques, we can automatically classify human expressions such as happiness, sadness, anger, fear, surprise, and more. In this tutorial, we will build a facial

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