وفّر 50٪ من خلال الاشتراك السنوي في مجرة واحصل على تصفح لا محدود لأفضل محتوى عربي على الإنترنت.
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عبارة عن تقنية تُستخدم لتحسين نماذج التعلم الآلي وجعلها أكثر عموميةً وكفاءةً حتى في الحالات التي لا تتوفر فيها مجموعات بيانات كبيرة بشكلٍ كافٍ. ويتم ذلك عن طريق زيادة كمية البيانات الأصلية المتاحة بإضافة نسخ مُعدلة منها أو إنشاء بيانات مصطنعة جديدة بالاعتماد عليها. تُساعد عملية تعزيز البيانات أيضاً على تلافي مشكلة فرط الملاءمة التي تحدث عند تدريب النماذج باستخدام مجموعة بيانات صغيرة الحجم وذات جودة منخفضة.
تستخدم هذه العملية بشكل أساسي في تطبيقات التعلم العميق في مجال الرؤية الحاسوبية ومعالجة اللغة الطبيعية؛ حيث تكون البيانات عبارة عن صور ونصوص ويتم ذلك بالطرق التالية:
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