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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.
هذا المشروع ليس إلا الخطوة الأولى. يمكنك الآن الغوص في تقنيات أكثر تعقيدًا، مثل الشبكات العصبية باستخدام TensorFlow أو بناء أنظمة توصيات متقدمة. الذكاء الاصطناعي يمنحك القوة لتغيير العالم.
TensorFlow
هل أكملت مشروعك؟ شاركه معنا في التعليقات أو أرسل لنا نموذجك النهائي. دعنا نساعدك في رحلتك لتصبح خبيرًا في الذكاء الاصطناعي!
في هذا الدليل، سنشرح كيفية استخدام الذكاء الاصطناعي في تطبيق برمجي باستخدام لغة Python.
الذكاء الاصطناعي هو فرع من علوم الكمبيوتر يهدف إلى تطوير الأنظمة القادرة على أداء المهام التي تتطلب عادةً الذكاء البشري، مثل التعلم، الفهم، والتفاعل.
import * as tf from '@tensorflow/tfjs'; const tensor = tf.tensor([1, 2, 3, 4], [2, 2]); tensor.print();
TensorFlow.js makes it easy to load pre-trained models from a URL or a local file. Here’s an example of loading a model: