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ResNet-50, with 50 layers, excels in image classification by addressing the vanishing gradient problem. Skip connections facilitate seamless information flow, empowering the model for intricate feature learning. Its unique architecture makes ResNet-50 a robust choice for complex pattern recognition.

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image-processing keras python resnet-50 seaborn skit-learn tensorflow

resnet50-from_scratch_and_built_in's Introduction

๐Ÿ‘‹ Hi, I'm Abdelrahman Amin

About Me

Machine learning and AI enthusiast . My GitHub is a showcase of projects where I apply AI to solve real-world problems. Explore the repositories to see my diverse range of work, spanning algorithms, deep learning, and more. I take pride in efficient time management, allowing me to deliver quality projects while balancing various commitments. My ability to learn fast and adapt quickly is reflected in the variety of projects I've undertaken. If you share a passion for leveraging AI to make a positive impact, I'd love to connect and explore opportunities for collaboration on innovative projects.

๐ŸŒ Socials:

abdelrahman-amin abdelrahmanamiin abdoamin012 abdelrahman_amin

๐Ÿ’ป Tech Stack:

C++ Python Java JavaScript HTML5 CSS3 C# OpenCV MicrosoftSQLServer Keras Matplotlib Scipy TensorFlow NumPy Pandas PyTorch scikit-learn Power Bi

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