DeepLearning.AI
النماذج المتعاقبة
DeepLearning.AI

النماذج المتعاقبة

Andrew Ng
Kian Katanforoosh
Younes Bensouda Mourri

Instructors: Andrew Ng

Top Instructor

Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
15 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
15 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace

Details to know

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Assessments

3 assignments

Taught in Arabic

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There are 3 modules in this course

تعلم المزيد حول الشبكات العصبونية المتكررة. لقد ثبت أن هذا النوع من النماذج يعمل بشكل جيد للغاية على البيانات الزمنية. تحتوي على العديد من المتغيرات بما في ذلك LSTMs وGRUs والشبكات العصبونية المتكررة ثنائية الاتجاه، والتي سنتعرف عليها في هذا الجزء.

What's included

12 videos2 readings1 assignment3 programming assignments3 ungraded labs

تعتبر معالجة اللغة الطبيعية مع التعلم العميق مزيجًا مهمًا. باستخدام تمثيلات متجهات الكلمات وطبقات التضمين، يمكنك تدريب الشبكات العصبونية المتكررة بأداء متميز في مجموعة متنوعة من الصناعات. ومن أمثلة التطبيقات تحليل المشاعر والتعرف على الكيانات المسماة والترجمة الآلية

What's included

10 videos1 reading1 assignment2 programming assignments2 ungraded labs

يمكن زيادة القوالب المتتابعة باستخدام آلية الانتباه. ستساعد هذه الخوارزمية نموذجك على فهم المكان الذي يجب أن يركز فيه انتباهه في ضوء تسلسل المدخلات. ستتعرف هذا الأسبوع كذلك على التعرف على الكلام وكيفية التعامل مع البيانات الصوتية.

What's included

11 videos3 readings1 assignment2 programming assignments2 ungraded labs

Instructors

Andrew Ng

Top Instructor

DeepLearning.AI
45 Courses7,861,336 learners

Offered by

DeepLearning.AI

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