TensorFlow tutorials

ResUNet Skin Lesion Segmentation in TensorFlow (Step-by-Step Tutorial)

TensorFlow tutorials, Unet /
How to Segment Skin Melanoma using Res-Unet

Introduction – Skin Melanoma Segmentation using ResUnet ResUNet skin lesion segmentation TensorFlow is the goal of this tutorial.You’ll train a ResUNet in Keras to predict pixel-accurate masks from dermoscopic images, evaluate Dice/IoU, and visualize overlays on new samples.This is an educational computer-vision guide only and not medical advice. You’ll see the full workflow end-to-end: how […]

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How to build a Facial Emotion Detection Model using Deep learning

TensorFlow tutorials /
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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CNN Feature Visualization with Activation Maximization in Keras (VGG16)

TensorFlow tutorials /
CNN Feature Visualization with Activation Maximization

CNN Feature Visualization with Activation Maximization This post shows how to visualize what a convolutional neural network “imagines” for a target class using Activation Maximization.We will generate a synthetic image that maximally activates the “Persian cat” neuron of a pre-trained VGG16 model.The method helps you interpret CNNs, validate model behavior, and create compelling teaching visuals.We

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What actually sees a CNN Deep Neural Network model ?

TensorFlow tutorials /
visualize CNN

Welcome to our comprehensive image classification tutorial series! In this tutorial playlist, consisting of five informative videos, we will guide you through the entire process of classifying monkey species in images, utilizing vgg16 transfer learning and CNN filter visualization. This is part of our TensorFlow image classification tutorial series! Each video focuses on a specific

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How to classify monkeys images using convolutional neural network , Keras tuner hyper parameters , and transfer learning ? (part4)

TensorFlow tutorials /
Transfer Learning Fine-tune a Pretrained VGG16

Welcome to our comprehensive image classification tutorial series! In this tutorial playlist, consisting of five informative videos, we will guide you through the entire process of classifying monkey species in images, utilizing vgg16 transfer learning. This is part of our TensorFlow image classification tutorial series! Each video focuses on a specific aspect of the process,

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Keras Tuner Hyperparameter Optimization: A Guide to High-Accuracy CNNs

TensorFlow tutorials /
Optimize CNN for Accuracy using Keras Tuner Hyper Parameters

Building a deep learning model is only the first step; the real challenge lies in finding the exact configuration that yields the highest accuracy. Keras Tuner Hyperparameter Optimization is the professional standard for automating this process, replacing manual trial-and-error with sophisticated search algorithms like Bayesian Optimization. In this guide, you will solve the common problem

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How to classify monkeys images using convolutional neural network , Keras tuner hyper parameters , and transfer learning ? (part2)

TensorFlow tutorials /
Tensorflow CNNImage Classification Tutorial

🎥 TensorFlow Image Classification Tutorial With Keras CNN: Image Classification Tutorial Series: Five Parts 🐵 Welcome to our comprehensive image classification tutorial series! In this tutorial playlist, consisting of five informative videos, we will guide you through the entire process of classifying monkey species in images. This is part of our TensorFlow image classification tutorial

How to classify monkeys images using convolutional neural network , Keras tuner hyper parameters , and transfer learning ? (part2) Read More »

ResNet50 Transfer Learning for Car Image Classification in TensorFlow and Keras.

TensorFlow tutorials /
Resnet50 Tutorial

Introduction This tutorial shows how to build a car image classifier using TensorFlow and Keras with transfer learning on ResNet50.You will train the model with data augmentation, evaluate accuracy and loss, and save the model to an H5 file.Then you will load the trained model to run predictions on new car images and render the

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MobileNet Image Classification in Python: Complete Keras & OpenCV Tutorial

TensorFlow tutorials /
MobileNet Image Classification

Introduction This tutorial shows how to build a complete image classification pipeline in Python with a pretrained MobileNet model.You will load the model, preprocess any input image to the required dimensions, run inference, decode the ImageNet labels, and render the predicted class directly on the image with OpenCV.By the end, you will have a single,

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