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Andrew Ng and Younes Bensouda Mourri

إذا كنت ترغب في اختراق عالم الذكاء الاصطناعي شديد التطور، فسوف تساعدك هذه الدورة التدريبية على تحقيق ذلك. إن مهندسي التعلم العميق مطلوبون بشدة، كما أن إتقان التعلم العميق يمنحك العديد من فرص المستقبل المهني الجديدة. إن التعلم العميق يعد بمثابة "قوة عظمى" جديدة كذلك تساعدك على بناء أنظمة الذكاء الاصطناعي التي لم يكن بالإمكان الوصول إليها منذ عدة سنوات قليلة مضت.

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إذا كنت ترغب في اختراق عالم الذكاء الاصطناعي شديد التطور، فسوف تساعدك هذه الدورة التدريبية على تحقيق ذلك. إن مهندسي التعلم العميق مطلوبون بشدة، كما أن إتقان التعلم العميق يمنحك العديد من فرص المستقبل المهني الجديدة. إن التعلم العميق يعد بمثابة "قوة عظمى" جديدة كذلك تساعدك على بناء أنظمة الذكاء الاصطناعي التي لم يكن بالإمكان الوصول إليها منذ عدة سنوات قليلة مضت.

في هذه الدورة التدريبية، سوف تتعرف على أسس التعلم العميق. عندما تنتهي من هذا الفصل الدراسي، سيكون بإمكانك ما يلي:

- فهم اتجاهات التقنيات الرئيسية التي تدفع التفكير العميق قدمًا

- التمكن من بناء شبكات عصبية متصلة بشكل كامل وتتسم بالعمق وتدريب تلك الشبكات وتطبيقها

- إدراك كيفية تنفيذ الشبكات العصبية الفعالة (الموجهة)

- إدراك المعاملات الرئيسية في بنية الشبكة العصبية

كما تعلمك هذه الدورة التدريبية كذلك كيف يعمل التعلم العميق بشكل فعلي كذلك، بدلاً من تقديم وصف سريع أو سطحي فقط. لذا، بعد إكمال هذه الدورة التدريبية، سوف تكون قادرًا على تطبيق التعلم العميق على التطبيقات الخاصة بك. إذا كنت تبحث عن وظيفة في مجال الذكاء الاصطناعي، بعد إتمام هذه الدورة التدريبية، سوف تكون قادرًا كذلك على الإجابة على أسئلة المقابلات الشخصية الأساسية.

هذه الدورة التدريبية هي الأولى في تخصص التعلم العميق.

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What's inside

Syllabus

مقدمة حول التعلم العميق
التمكن من شرح الاتجاهات الرئيسية التي تؤدي إلى زيادة شأن التعلم العميق، وفهم متى يتم تطبيقه وكيفية تطبيقه اليوم.‏
أساسيات الشبكات العصبية
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تعلم كيفية إعداد مشكلة لتعلم الماكينات بعقلية شبكة عصبية. تعلم على استخدام التوجيه لتسريع النماذج الخاصة بك.‏
الشبكات العصبية السطحية
تعلم كيفية بناء شبكة عصبية تحتوي على طبقة مخفية واحدة، باستخدام أسلوبي الانتشار الأمامي والانتشار الخلفي.‏
الشبكات العصبية العميقة
تعرف على العمليات الحسابية الرئيسية التي يقوم عليها التعلم العميق، واستخدامها لبناء الشبكات العصبية العميقة وتدريبها، وتطبيقها على رؤية الكمبيوتر.‏

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Taught by Andrew Ng, a well-known instructor in the field
May assist with answering interview questions for AI-related job applications
Provides the understanding to apply deep learning to an individual's preferred specializations
Requires a background in machine learning, so learners may take other courses first

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Reviews summary

Neural networks and deep learning course

This course offers students an introduction to the foundations of deep learning and neural networks. Students will learn how to build and train deep neural networks, and how to apply them to real-world problems. The course is taught by experienced practitioners, and the material is presented in a clear and engaging way. However, some students have reported that the audio quality is not always optimal.
Practical and Hands-on
"...working with arrays and some python to learning neural networks and forward propagation and backwardi..."
"...you can fix that by downloading the video and use some video player witch support filtering..."
Audio Quality Issues
"...some Sharp and whistling sound you can fix that by downloading the video and use some video player witch support filtering..."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in الشبكات العصبية والتعلم العميق with these activities:
Exercises to Illustrate Backpropagation
Reinforce your understanding of backpropagation and its role in deep learning.
Browse courses on Backpropagation
Show steps
  • Review the mathematical formulas and concepts of backpropagation.
  • Implement a basic neural network model.
  • Use the implemented model to perform backpropagation on training data.
  • Analyze the resulting gradients and weights to understand how backpropagation updates the network.
Show all one activities

Career center

Learners who complete الشبكات العصبية والتعلم العميق will develop knowledge and skills that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineers help organizations implement and maintain artificial intelligence solutions. Neural networks and deep learning are essential to their work, and this course will help you master both. You will learn how to build deep neural networks, train them, and apply them to real-world problems. This course will provide you with the skills you need to succeed as a Machine Learning Engineer.
Data Scientist
Data Scientists use data to solve business problems. Neural networks and deep learning are powerful tools for extracting insights from data, and this course will help you master them. You will learn how to build deep neural networks, train them, and apply them to real-world problems. This course will give you the skills you need to succeed as a Data Scientist.
Artificial Intelligence Researcher
Artificial Intelligence Researchers develop new algorithms and techniques for artificial intelligence. Neural networks and deep learning are at the forefront of AI research, and this course will help you understand them. You will learn how to build deep neural networks, train them, and apply them to real-world problems. This course will give you the skills you need to succeed as an Artificial Intelligence Researcher.
Deep Learning Engineer
Deep Learning Engineers design and develop deep learning models. This course will provide you with the foundational knowledge and skills necessary for this role. You will learn about the different types of deep learning models, how to train them, and how to apply them to real-world problems. This course will help you build a strong foundation for a career as a Deep Learning Engineer.
Computer Vision Engineer
Computer Vision Engineers develop and implement computer vision systems. Neural networks and deep learning are essential to computer vision, and this course will help you master both. You will learn how to build deep neural networks for computer vision tasks, such as image classification, object detection, and segmentation. This course will provide you with the skills you need to succeed as a Computer Vision Engineer.
Natural Language Processing Engineer
Natural Language Processing Engineers develop and implement natural language processing systems. Neural networks and deep learning are essential to NLP, and this course will help you master both. You will learn how to build deep neural networks for NLP tasks, such as text classification, machine translation, and question answering. This course will help you lay a solid groundwork for a career as a Natural Language Processing Engineer.
Software Engineer
Software Engineers design, develop, and maintain software applications. Neural networks and deep learning are increasingly being used in software development, and this course will help you understand them. You will learn how to build deep neural networks, train them, and apply them to real-world problems. This course will provide you with the skills you need to succeed as a Software Engineer.
Data Analyst
Data Analysts collect, analyze, and interpret data to help organizations make better decisions. Neural networks and deep learning are powerful tools for data analysis, and this course will help you master them. You will learn how to build deep neural networks, train them, and apply them to real-world problems. This course will give you the skills you need to succeed as a Data Analyst.
Business Analyst
Business Analysts help organizations improve their processes and performance. Neural networks and deep learning are increasingly being used in business analysis, and this course will help you understand them. You will learn how to build deep neural networks, train them, and apply them to real-world problems. This course will provide you with the skills you need to succeed as a Business Analyst.
Product Manager
Product Managers develop and manage products. Neural networks and deep learning are increasingly being used in product development, and this course will help you understand them. You will learn how to build deep neural networks, train them, and apply them to real-world problems. This course will provide you with the skills you need to succeed as a Product Manager.
Marketing Manager
Marketing Managers develop and execute marketing campaigns. Neural networks and deep learning are increasingly being used in marketing, and this course will help you understand them. You will learn how to build deep neural networks, train them, and apply them to real-world problems. This course will provide you with the skills you need to succeed as a Marketing Manager.
Sales Manager
Sales Managers develop and execute sales strategies. Neural networks and deep learning are increasingly being used in sales, and this course will help you understand them. You will learn how to build deep neural networks, train them, and apply them to real-world problems. This course will provide you with the skills you need to succeed as a Sales Manager.
Operations Manager
Operations Managers oversee the day-to-day operations of an organization. Neural networks and deep learning are increasingly being used in operations management, and this course will help you understand them. You will learn how to build deep neural networks, train them, and apply them to real-world problems. This course will provide you with the skills you need to succeed as an Operations Manager.
Financial Analyst
Financial Analysts analyze financial data to make investment recommendations. Neural networks and deep learning are increasingly being used in financial analysis, and this course will help you understand them. You will learn how to build deep neural networks, train them, and apply them to real-world problems. This course will provide you with the skills you need to succeed as a Financial Analyst.
Human Resources Manager
Human Resources Managers oversee the human resources department of an organization. Neural networks and deep learning are increasingly being used in human resources management, and this course will help you understand them. You will learn how to build deep neural networks, train them, and apply them to real-world problems. This course will provide you with the skills you need to succeed as a Human Resources Manager.

Reading list

We've selected 13 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 العصبية والتعلم العميق.
Provides a comprehensive overview of deep learning, from its theoretical foundations to its practical applications. It valuable resource for anyone who wants to learn more about this rapidly growing field.
Provides a practical introduction to deep learning with Python. It great resource for anyone who wants to learn how to build and train deep learning models using Python.
Provides a comprehensive overview of machine learning, with a focus on the probabilistic perspective. It valuable resource for anyone who wants to learn more about the theoretical foundations of machine learning.
Provides a practical introduction to machine learning with Scikit-Learn, Keras, and TensorFlow. It great resource for anyone who wants to learn how to build and train machine learning models using these popular libraries.
Provides a comprehensive overview of statistical learning, with a focus on machine learning. It valuable resource for anyone who wants to learn more about the theoretical foundations of machine learning.
Provides a comprehensive overview of pattern recognition and machine learning. It valuable resource for anyone who wants to learn more about the theoretical foundations of machine learning.
Provides a comprehensive overview of statistical learning, with a focus on machine learning. It valuable resource for anyone who wants to learn more about the theoretical foundations of machine learning.
Provides a clear and concise introduction to neural networks and deep learning. It great resource for anyone who wants to learn the basics of these technologies.
Provides a comprehensive overview of natural language processing, with a focus on deep learning. It valuable resource for anyone who wants to learn more about this rapidly growing field.
Provides a comprehensive overview of generative adversarial networks, a type of deep learning model that can be used to generate new data. It valuable resource for anyone who wants to learn more about this rapidly growing field.
Provides a comprehensive overview of reinforcement learning, a type of deep learning model that can be used to learn how to make decisions in complex environments. It valuable resource for anyone who wants to learn more about this rapidly growing field.

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