TensorFlow tutorials

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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CNN Feature Visualization with Activation Maximization in Keras (VGG16)

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 ?

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)

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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How to classify monkeys images using convolutional neural network , Keras tuner hyper parameters , and transfer learning ? (part3)

Optimize CNN for Accuracy using Keras Tuner Hyper Parameters

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 series! Each video focuses on a specific aspect of the process, providing you with a

How to classify monkeys images using convolutional neural network , Keras tuner hyper parameters , and transfer learning ? (part3) Read More »

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

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.

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

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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