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קרקוב טיפים והמלצות – מדריך למטייל לקרקוב : מלונות , אטרקציות , מסעדות ומקומות טעימים

Travel /
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מדריך קרקוב: איפה לאכול, לישון ולבקר – המפה המלאה למטייל ברוכים הבאים למדריך אטרקציות קרקוב בעברית—סיכום ממוקד של כל מה שכדאי לדעת לפני ביקור בעיר היפה בפולין. כאן תמצאו מסלול רגלי נוח בעיר העתיקה, נקודות חובה בשכונת קז’ימייז’, ביקור במוזיאון שינדלר ובמכרות המלח בווייליצ’קה, וגם רשימת מסעדות, מאפיות ובתי קפה שלא מאכזבים. הוספתי המלצות לינה […]

קרקוב טיפים והמלצות – מדריך למטייל לקרקוב : מלונות , אטרקציות , מסעדות ומקומות טעימים Read More »

Self-Supervised Learning Made Easy with LightlyTrain | Image Classification tutorial

Image Classification /
LightlyTrain Image classification

In this tutorial, we will show you how to use LightlyTrain to train a model on your own dataset for image classification. Self-Supervised Learning (SSL) is reshaping computer vision, just like LLMs reshaped text. The newly launched LightlyTrain framework empowers AI teams—no PhD required—to easily train robust, unbiased foundation models on their own datasets. Let’s

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Face Animation | Transform Static Images into Lifelike Animations

Python Cool Stuff /
Face Move By Sound Thin Plate Spline Motion Model

Welcome to our tutorial : Image animation brings life to the static face in the source image according to the driving video, using the Thin-Plate Spline Motion Model! Great face animation In this tutorial, we’ll take you through the entire process, from setting up the required environment to running your very own animations. Thin-Plate Spline

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How to Classify Vehicles: VGG16 Feature Extraction & XGBoost

Image Classification /
Object Classification using XGBoost and VGG16

In this tutorial, we build a vehicle classification model using VGG16 for feature extraction and XGBoost for classification! 🚗🚛🏍️ It will based on Tensorflow and Keras 🔍 What You’ll Learn 🔍:  🖼️ Part 1: We kick off by preparing our dataset, which consists of thousands of vehicle images across five categories. We demonstrate how to

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How to classify Malaria Cells using Convolutional neural network

TensorFlow tutorials, Image Classification /
CNN - Malaria

This tutorial provides a step-by-step easy guide on how to implement and train a CNN model for Malaria cell classification using TensorFlow and Keras. 🔍 What You’ll Learn 🔍:  Data Preparation — In this part, you’ll download the dataset and prepare the data for training. This involves tasks like preparing the data , splitting into training

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How to segment X-Ray lungs using UNet and Tensorflow

Image Segmentation, Unet /
Unet Lungs Segmentation

This tutorial provides a step-by-step guide on how to implement and train a UNet Tensorflow model for Melanoma detection using TensorFlow and Keras.  🔍 What You’ll Learn 🔍:  Building U-net model : Learn how to construct the model using TensorFlow and U-net Keras. Unet Tensorflow Model Training: We’ll guide you through the training process, optimizing your

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How to Build a U-Net for Melanoma Detection Using TensorFlow/Keras

Image Segmentation, Unet /
Melanoma Unet

This tutorial provides a step-by-step guide on how to implement and train a U-Net model for Melanoma detection using TensorFlow/Keras.  🔍 What You’ll Learn 🔍:  Data Preparation: We’ll begin by showing you how to access and preprocess a substantial dataset of Melanoma images and corresponding masks.  Data Augmentation: Discover the techniques to augment your dataset.

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