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الشبكات العصبونية الالتفافية
Andrew Ng,
Kian Katanforoosh,
and
Younes Bensouda Mourri
Andrew Ng,
Kian Katanforoosh,
and
Younes Bensouda Mourri
سيُعلمك هذا المساق طريقة إعداد الشبكات العصبونية الالتفافية وتطبيقها على بيانات الصورة. وبفضل التعلم المتعمق، تعمل الرؤية الحاسوبية على نحوٍ أفضل كثيرًا مما كانت عليه في العامين السابقين وأتاح هذا الكثير من التطبيقات الحالية التي تمتد بدءًا من التحكم الذاتي الآمن حتى التعرف على الوجه بصورةٍ دقيقة وحتى القراءة الأوتوماتيكية للصور الإشعاعية. ستُصبح مُلِم بطريقة إعداد شبكة عصبونية التفافية، بما في ذلك التغييرات التي طرأت في الآونة الأخيرة من قبيل الشبكات المتبقية. وستتعرف على طريقة تطبيق الشبكات الالتفافية على وظائف الكشف والتعرف المرئيين. وستتعرف على طريقة استعمال خاصية نقل النمط العصبي لإنتاج الأعمال الفنية. وسيُصبح بوسعك تطبيق هذه الخوارزميات على مجموعة مختلفة من الصور ومقاطع الفيديو وغيرها من المعطيات ثنائية الأبعاد وثلاثية الأبعاد. ويُمثل هذا المساق الرابع من نوعه في تخصص التعلم المتعمق.
Register for this course and see more details by visiting:
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What's inside
Syllabus
أسس الشبكات العصبونية الالتفافية
تعلم طريقة تنفيذ الطبقات الأساسية الخاصة بالشبكات العصبونية الالتفافية (الجمع، عمليات التلافيف) وتجميعها بصورةٍ ملائمة داخل شبكة عميقة لحل المشاكل المتعلقة بالتصنيف ذي الفئات العديدة.
Read more
Syllabus
أسس الشبكات العصبونية الالتفافية
تعلم طريقة تنفيذ الطبقات الأساسية الخاصة بالشبكات العصبونية الالتفافية (الجمع، عمليات التلافيف) وتجميعها بصورةٍ ملائمة داخل شبكة عميقة لحل المشاكل المتعلقة بالتصنيف ذي الفئات العديدة.
Read more
النماذج الالتفافية المتعمقة: دراسات الحالات
اكتساب معرفة عن الخدع والأساليب العملية التي تُستخدم في الشبكات العصبونية المتعمقة بصورةٍ مباشرةٍ من أوراق البحث.
الكشف عن الأجسام
تعلم طريقة تطبيق ما تعرفه عن الشبكات العصبونية الالتفافية على أحد مجالات الرؤية الحاسوبية الأكثر صعوبةً ورواجًا: الكشف عن الكائنات.
التطبيقات الخاصة: التعرف على الوجه ونقل النمط العصبي
يمكنك اكتشاف كيف يمكن تطبيق الشبكة العصبونية الالتفافية على مجالات متعددة، بما في ذلك إنتاج الأعمال الفنية والتعرف على الوجه. قم بتنفيذ الخوارزمية الخاصة بك لإنتاج الأعمال الفنية والتعرف على الوجوه!
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops basic to advanced skills and knowledge for those new to using and applying Convolutional Neural Networks
Taught by Andrew Ng, world-renowned AI expert and leader in deep learning education
Covers the theoretical foundations of CNNs and explores the latest advancements, such as ResNet, that have revolutionized computer vision
Provides practical experience through hands-on assignments and projects, enabling learners to apply CNNs to real-world problems
Part of the Deep Learning Specialization, offering learners a comprehensive foundation in this rapidly growing field
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Activities
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الشبكات العصبونية الالتفافية.
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Career center
Learners who complete الشبكات العصبونية الالتفافية will develop knowledge and skills
that may be useful to these careers:
Deep Learning Engineer
Deep Learning Engineer
A Deep Learning Engineer researches and develops models for various applications, such as pattern recognition. This course introduces students to deep learning and can help them cultivate the skills to succeed as a Deep Learning Engineer.
Artificial Intelligence Engineer
Artificial Intelligence Engineer
An Artificial Intelligence Engineer develops and deploys artificial intelligence models and related software. Convolutional neural networks are a critical component of many modern AI systems, and this course can help students master them.
Computer Vision Engineer
Computer Vision Engineer
A Computer Vision Engineer solves problems like object detection, image recognition, and facial recognition. Convolutional neural networks are often used to build solutions to such problems. This course introduces learners to the foundations of convolutional neural networks.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer deploys and maintains machine learning models to solve business problems. This course can provide the skills for understanding and implementing convolutional neural networks.
Software Engineer
Software Engineer
A Software Engineer designs, develops, tests, and maintains software systems. This course is a valuable tool in understanding neural networks and coding them to solve business problems.
Data Analyst
Data Analyst
A Data Analyst extracts, cleans, prepares, and models data to solve problems. This course may be useful in understanding data manipulation and mathematical algorithms for data analysis.
Business Analyst
Business Analyst
A Business Analyst consults with stakeholders to gather requirements, defines solutions, and analyzes data to make recommendations. This course may be useful for building problem-solving, analytical, and stakeholder management skills.
Marketing Manager
Marketing Manager
A Marketing Manager develops and executes marketing campaigns to promote products or services. This course may be useful for building skills in data analysis, market research, and stakeholder management.
Product Manager
Product Manager
A Product Manager is responsible for envisioning, planning, and launching products. This course may be useful for understanding data analysis, customer research, and stakeholder management.
Operations Manager
Operations Manager
An Operations Manager oversees and coordinates business operations. This course may be useful for building skills in data analysis, process improvement, and problem-solving.
Sales Manager
Sales Manager
A Sales Manager leads and manages a sales team to achieve sales goals. This course may be useful for building skills in team management, stakeholder relations, and problem-solving.
Project Manager
Project Manager
A Project Manager plans, executes, and tracks projects. This course may be useful for building skills in team management, stakeholder relations, and problem-solving.
Customer Success Manager
Customer Success Manager
A Customer Success Manager builds and maintains relationships with clients to ensure satisfaction and retention. This course may be useful for building skills in stakeholder management, problem-solving, and communication.
Data Scientist
Data Scientist
A Data Scientist extracts meaning and insights from data. This course may be useful in gaining the skills to manipulate data, build models, and perform analysis.
Technical Writer
Technical Writer
A Technical Writer creates and maintains documentation to explain complex technical information. This course may be useful for building skills in writing, editing, and research.
For more career information including salaries, visit:
OpenCourser.com/course/81apok/lshbkt
Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
الشبكات العصبونية الالتفافية.
Save
Provides a comprehensive overview of deep learning, including convolutional neural networks. It valuable resource for anyone interested in learning more about deep learning.
Provides a comprehensive overview of deep convolutional neural networks for image classification. It valuable resource for anyone who wants to learn more about this field.
Save
Provides a comprehensive overview of computer vision, including convolutional neural networks. It valuable resource for anyone interested in learning more about computer vision.
Provides a comprehensive overview of pattern recognition and machine learning, including convolutional neural networks. It valuable resource for anyone interested in learning more about pattern recognition and machine learning.
Provides a practical guide to deep learning with Python. It valuable resource for anyone interested in learning more about deep learning with Python.
Provides a practical guide to deep learning for computer vision. It valuable resource for anyone interested in learning more about deep learning for computer vision.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/81apok/lshbkt
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Effort
4 weeks of study, 4-5 hours/week
Level
Intermediate
Via
Coursera
Institution
DeepLearning.AI
Instructors
Andrew Ng
Kian Katanforoosh
Younes Bensouda Mourri
Language
العربية
Transcripts
English
Español
Français
Português
中文
한국어
日本語
Pусский
Türkçe
Good to know
Develops basic to advanced skills and knowledge for those new to using and applying Convolutional Neural Networks
Taught by Andrew Ng, world-renowned AI expert and leader in deep learning education
Covers the theoretical foundations of CNNs and explores the latest advancements, such as ResNet, that have revolutionized computer vision
Provides practical experience through hands-on assignments and projects, enabling learners to apply CNNs to real-world problems
Part of the Deep Learning Specialization, offering learners a comprehensive foundation in this rapidly growing field
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