data-science
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Understanding Mean Shift Clustering: A Comprehensive Guide with Scikit Learn Tutorial by Intellipaat
Mean shift clustering is a powerful clustering algorithm that is commonly used in computer vision, image processing, and pattern recognition…
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ضبط المقياس للميزات باستخدام Scikit-learn || تحديد الحد الأدنى-الأقصى | قياس معياري
في هذا البرنامج التعليمي سوف نتكلم عن Feature Scaling في مكتبة Scikit-learn باللغة العربية. Feature Scaling هي عملية تقليل متغيرات…
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Introduction to TensorFlow: A Quick Overview for Beginners in 15 Minutes | Simplilearn
TensorFlow is an open-source machine learning framework developed by Google that allows developers to build and train machine learning models….
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PyTorch vs. TensorFlow: The Key Differences
When it comes to deep learning frameworks, PyTorch and TensorFlow are two of the most popular choices in the machine…
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Tutorial on creating a TensorFlow Keras model with mixed inputs
Introduction: In this tutorial, we will explore how to build a TensorFlow Keras model with mixed inputs. Mixed inputs refer…
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🔥 The Top Choice for AI Researchers: PyTorch! 🚀
In recent years, PyTorch has emerged as one of the most popular frameworks for deep learning and artificial intelligence research….
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Generating Images with GANs using PyTorch for Deep Learning
In this final part of our tutorial on Image Generation using GANs with PyTorch, we will discuss how to fine-tune…
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PyTorch: Powering your deep learning journey | #shortvideo #viral #artificialintelligence
PyTorch is a powerful and popular open-source machine learning library that is used for both research and production. It provides…
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Optimizing Hyperparameters for Deep Learning in Python Using TensorFlow & Keras
Deep learning hyperparameter tuning is an essential step in optimizing the performance of neural networks. It involves finding the best…
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Becoming a GPU Programming Expert: Transitioning from PyTorch to OpenAI’s Triton!
In recent years, there has been a surge in interest in GPU programming, especially in the field of deep learning…
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