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Unlock 3+ expert-curated tensorflow tutorials, real-world code snippets, and modern dev strategies. From fundamentals to advanced topics, boost your tensorflow skills on DeveloperBreeze.
تنظيف البيانات أمر حيوي للحصول على نتائج دقيقة:
# إزالة القيم الفارغة data = data.dropna() # تقسيم الميزات والمخرجات X = data[['size', 'bedrooms', 'age']] y = data['price']
الذكاء الاصطناعي هو فرع من علوم الكمبيوتر يهدف إلى تطوير الأنظمة القادرة على أداء المهام التي تتطلب عادةً الذكاء البشري، مثل التعلم، الفهم، والتفاعل.
لبدء العمل، تحتاج إلى:
Before we dive into integrating TensorFlow.js with React, it’s important to understand the basics of TensorFlow.js.
In TensorFlow.js, data is represented as tensors, which are multi-dimensional arrays. Tensors can be created from arrays, manipulated, and fed into machine learning models for predictions.