TensorFlow tutorials

Build a CNN Model for Retinal Image Diagnosis

👁️ CNN Image Classification for Retinal Health Diagnosis with TensorFlow and Keras! 👁️ How to gather and preprocess a dataset of over 80,000 retinal images, design a CNN deep learning model , and train it that can accurately distinguish between these health categories. What You’ll Learn: 🔹 Data Collection and Preprocessing: Discover how to acquire […]

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

📽️ 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 Tutorial using Convolutional Neural Network

Welcome to our comprehensive Dinosaur Image Classification Tutorial! We’ll learn how use Convolutional Neural Network (CNN) to classify 5 dinosaur categories , based on 200 images : You can find more tutorials, and join my newsletter here : https://eranfeit.net/ If you are interested in learning modern Computer Vision course with deep dive with TensorFlow ,

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How to Segment Skin Melanoma using Res-Unet

This tutorial provides a step-by-step guide on how to implement and train a Res-UNet 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 as we compare predicted masks with actual

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CNN Model for Emotion Detection: TensorFlow and Keras Tutorial 🖥️🤔😀

📹✨ Emotion Detection with Deep Learning! – Step by Step 🌟🔍💻 In our latest video tutorial, we will walk you through the step-by-step process of building an emotion detection model using deep learning and image classification techniques. 🤖📸 During this tutorial, we will guide you through the essential stages, starting from preprocessing the data and

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What the network “thinks” is the best image for the CNN model ? (Class Maximization tutorial)

What If we asked our deep neural network to draw it’s best image for a trained model ? What it will draw ? What is the optimized image for each model category ? We can discover that using the class maximization method on the Vgg16 model. You can find more similar tutorials in my blog

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

🎥 Image Classification Tutorial Series: Five Parts 🐵 In these five videos, we will guide you through the entire process of classifying monkey species in images. We begin by covering data preparation, where you’ll learn how to download, explore, and preprocess the image data. Next, we delve into the fundamentals of Convolutional Neural Networks (CNN)

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

Video 3: Enhancing Classification with Keras Tuner: 🎯 Take your monkey species classification to the next level by leveraging the power of Keras Tuner. So , how can we decide how many layers should we define ? how many filters in each convolutional layer ? Should we use Dropout layer ? and what should be

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

🎥 Image Classification Tutorial Series: Five Parts 🐵 In these five videos, we will guide you through the entire process of classifying monkey species in images. We begin by covering data preparation, where you’ll learn how to download, explore, and preprocess the image data. Next, we delve into the fundamentals of Convolutional Neural Networks (CNN)

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

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