๐Ÿฆ•Dinosaur Image Classification Tutorial using Convolutional Neural Network

Welcome to our comprehensive Dinosaur Image Classification Tutorial! Weโ€™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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Our Amazing trip to Greece – Hebrew version

ืžืกืœื•ืœ ื”ื˜ื™ื•ืœ – ื‘ืฆืคื•ืŸ ื™ื•ื•ืŸ ื”ื™ , ืื ื™ ืžืฉืชืฃ ืกื™ื›ื•ื ืฉืœ ื”ื˜ื™ื•ืœ ืฉืœื ื• ืžื—ื•ื“ืฉ ื™ื•ืœื™ 2024 ื™ื•ื ืจืืฉื•ืŸ ื ื—ืชื ื• ื‘ืฉืขื•ืช ื”ื‘ื•ืงืจ ื‘ืฉื“ื” ื”ืชืขื•ืคื” ืฉืœ ืืชื•ื ื” , ืฉื›ืจื ื• ืจื›ื‘, ื•ื™ืฆืื ื• ืœื“ืจืš ืœื›ื™ื•ื•ืŸ ืฆืคื•ืŸ ืืœ ื”ื™ืขื“ ื”ืจืืฉื•ืŸ ืฉืœื ื• : ืžื˜ืื•ืจื” Kamena Vourla ย : ืžื›ื™ื•ืŸ ืฉืžื“ื•ื‘ืจ ื‘ื ืกื™ืขื” ืืจื•ื›ื” , ื”ื—ืœื˜ื ื• ืœืขืฆื•ืจ ืœืื—ืจ ื›ืฉืขืชื™ื™ื ื‘ืขื™ื™ืจื” https://maps.app.goo.gl/PxwVYSeBfE4HPw3d9 .ืื ื™ ืžืžืœื™ืฅ ืœื ืกื•ืข

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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 ๐Ÿ–ฅ๏ธ๐Ÿค”๐Ÿ˜€

๐Ÿ“นโœจ Emotion Detection with Deep Learning! โ€“ Step by Step ๐ŸŒŸ๐Ÿ”๐Ÿ’ป 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. ๐Ÿค–๐Ÿ“ธ During this tutorial, we will guide you through the essential stages, starting from preprocessing the data and

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What the network โ€œthinksโ€ is the best image for the CNN model ? (Class Maximization tutorial)

What If we asked our deep neural network to draw itโ€™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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