Eran Feit Blog posts

A Revolutionary Way to Play Atari 2600 – ( Play Atari 2600 with AI )

OpenCV /
AtariMediaPipe

Link to the code here : https://eranfeit.lemonsqueezy.com/buy/689397c8-48d0-4c1a-9ebd-ea4d30be60c8 or here : https://ko-fi.com/s/33640134f0 This new, amazing concept of playing Atari 2600 games is based on using your hands instead of a joystick. Play Atari with AIEvery movement in the game is done by the hands. You can control the game with no joystick. Yes, no Joystick!!! The […]

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Dinosaur Image Classification with a Convolutional Neural Network (Keras/TensorFlow)

TensorFlow tutorials, Image Classification /
Tensorflow dinosaor

Why Custom Deep Learning Pipelines Fail Without Proper Structure Building an accurate computer vision model from scratch requires more than just compiling code; it demands an optimized data pipeline and a robust network architecture. In this comprehensive dinosaur image classification cnn python tutorial, you will solve the specific challenge of classifying high-variance prehistoric species using

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מסלול טיול בצפון יוון למשפחות – רעיונות ואטרקציות מובילות

Travel /
2024 07 16 13.00.13 scaled

: פירוט מסלול הטיול בצפון יוון הי , אני משתף את סיכום הטיול המשפחתי שלנו בצפון יוון יום ראשון – תרמופילאי, תצפית מרהיבה של שקיעה במטאורה נחתנו בשעות הבוקר בשדה התעופה של אתונה , שכרנו רכב, ויצאנו לדרך לכיוון צפון אל היעד הראשון שלנו : מטאורה Kamena Vourla  : מכיון שמדובר בנסיעה ארוכה , החלטנו

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Deep Learning for Skin Melanoma Segmentation: A Res-UNet Approach in Python

TensorFlow tutorials, Unet /
How to Segment Skin Melanoma using Res-Unet

The Role of Residual UNet (Res-UNet) in Medical Image Analysis The integration of residual learning into the classic UNet architecture represents a significant leap forward in medical image analysis, particularly for tasks requiring extreme precision like melanoma segmentation. While the standard UNet relies on simple convolutional stacks, Res-UNet incorporates “skip connections” within each functional block.

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How to build a Facial Emotion Detection Model using Deep learning

TensorFlow tutorials /
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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Northern Greece Itinerary: Athens, Meteora, Tzoumerka, Ioannina & Nafpaktos (7 Days)

Travel /
2024 07 14 20.38.22

Planning a northern Greece itinerary that goes beyond the islands?This guide takes you from Athens to Meteora’s monasteries, through Tzoumerka’s rafting canyons and Ioannina’s lakeside old town, finishing on the beaches of Nafpaktos, and back to Athens where I focus on great places for visiting and eating. Northern Greece Itinerary : Day 1 : Meteora

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CNN Feature Visualization with Activation Maximization in Keras (VGG16)

TensorFlow tutorials /
CNN Feature Visualization with Activation Maximization

What is Class Maximization? Have you ever wondered exactly what a deep learning model visualizes when it detects a specific category? In this comprehensive cnn class activation maximization tutorial, you will look inside the black box of neural networks using Python and Keras. Instead of just passing an image through a pre-trained network like VGG16,

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Real-Time Object Detection in Python with Voice Commands (OpenCV + YOLOv4-tiny)

OpenCV /
How to detect object using voice yolo tutorial

How do you transition from static object detection to robust, frame-to-frame temporal tracking without devastating your pipeline’s frame rate? Building a high-performance yolo11 object tracking python opencv application requires balancing deep learning inference speeds with stable ID association. In this technical guide, you will solve the critical problem of identity fragmentation across sequential video frames.

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Eran Feit