TensorFlow tutorials

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,

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

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

TensorFlow tutorials /
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 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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How to classify Europe Landmarks using TensorFlow Hub

TensorFlow tutorials /
TensorFlow Hub Landmark Classification

Introduction This post shows how to perform landmark image classification in Python using a Europe landmarks classifier from TensorFlow Hub.You will load a pre-trained TensorFlow Hub landmark classification model, preprocess an image to the right size, and run fast inference to predict the landmark name.The workflow includes reading a CSV label map, preparing the input

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How to Build a CNN for Chess Piece Image Classification

TensorFlow tutorials /
Building a CNN Model

Introduction This end-to-end tutorial shows how to build a complete image classification pipeline in Python using TensorFlow Keras, focusing specifically on image classification with keras.You will prepare the dataset folders, split images into train and validation sets, build and train a convolutional neural network (CNN) with augmentation and callbacks, and finally run single-image predictions with

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