تعزيز الشبكات العصبية : ضبط وتحسين مقياس فرط المعلمات from Coursera

يعلمك هذا البرنامج "سحر" الحصول على التعلم المتعمق للعمل بشكل جيد. وعوضًا عن كون عملية التعلم المتعمق عبارة عن صندوق أسود، ستدرك الأمر الذي يدفع إلى الأداء، ومن ثم ستتمكن من الحصول على نتائج جيدة بشكل أكثر منهجية. كما ستعرف عن برنامج تنسرفلو.

بعد 3 أسابيع،:

- ستفهم أفضل الممارسات في المجال بشأن إنشاء تطبيقات التعلم المتعمق.

- وأيضًا القدرة على استخدام "الحيل" الشائعة للشبكة العصبية بشكل فعال، بما في ذلك التهيئة، المستوى الثاني وتصحيح وضع التسرب، تطبيع الدفعة، فحص التدرج،,

- القدرة على تنفيذ وتطبيق مجموعة متنوعة من خوارزميات التحسين، مثل هبوط تدرج الدفعات الصغيرة وزخم الحركة وطرق المعدل المقترحة وآدم والتحقق من التطابق فيما بينهما.

- بالإضافة إلى فهم أفضل الممارسات الجديدة لعصر التعلم المتعمق حول كيفية إعداد مجموعات التدريب/التطوير/الاختبار وتحليل الانحياز/التباين

- القدرة على تطبيق شبكة عصبية في برنامج تنسرفلو.

هذا هو المساق الثاني من اختصاص التعلم المتعمق.

What's inside

Syllabus

الجوانب العملية للتعلم المتعمق

خوارزميات التحسين

الأطر الخاصة بضبط مقياس فرط المعلمات وبرمجة وتطبيع الدفعات

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Combines theoretical underpinnings with practical application of deep learning

Suitable for learners with an existing grasp of deep learning concepts

Provides opportunities to explore experimental techniques and methods

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Career center

Learners who complete تعزيز الشبكات العصبية : ضبط وتحسين مقياس فرط المعلمات will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

As a Machine Learning Engineer, you will design, implement, and maintain machine learning models to solve business problems. To succeed in this role, one should gain a strong foundation of machine learning and its practical applications, such as provided in this course. The concepts covered in this course, including optimization algorithms and model evaluation techniques, are essential for building and deploying successful machine learning models.

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Data Scientist

As a Data Scientist, you will gather, analyze, and interpret data to help organizations make better decisions. To succeed in this role, one requires a strong foundation in statistics, machine learning, and programming. This course provides a comprehensive overview of the practical aspects of machine learning, including model optimization and evaluation techniques, which are crucial skills for Data Scientists.

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Software Engineer

As a Software Engineer, you will design, develop, and maintain software applications. To succeed in this role, one should have a strong foundation in computer science fundamentals and software development practices. This course provides a good overview of practical machine learning techniques, including optimization algorithms and model evaluation techniques, which are becoming increasingly important for Software Engineers working on data-driven applications.

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Quantitative Analyst

As a Quantitative Analyst, you will use mathematical and statistical models to analyze financial data and make investment decisions. To succeed in this role, one requires a strong foundation in statistics, probability, and programming. This course provides a good overview of practical machine learning techniques, including optimization algorithms and model evaluation techniques, which are becoming increasingly important for Quantitative Analysts.

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Research Scientist

As a Research Scientist, you will conduct research in various scientific fields, including machine learning. To succeed in this role, one requires a strong foundation in scientific methods and a deep understanding of machine learning algorithms. This course provides a comprehensive overview of practical aspects of machine learning, including model optimization and evaluation techniques, which are essential for Research Scientists working on machine learning projects.

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Product Manager

As a Product Manager, you will oversee the development and launch of new products. To succeed in this role, one should have a strong understanding of product development, marketing, and business strategy. This course provides a good overview of practical aspects of machine learning and its applications, including optimization algorithms and model evaluation techniques, which are becoming increasingly important for Product Managers working on data-driven products.

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Business Analyst

As a Business Analyst, you will analyze business processes and make recommendations to improve efficiency and profitability. To succeed in this role, one should have a strong understanding of business analysis techniques and data analysis methods. This course provides a good overview of practical aspects of machine learning and its applications, including optimization algorithms and model evaluation techniques, which are becoming increasingly important for Business Analysts working on data-driven projects.

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Data Engineer

As a Data Engineer, you will design and manage data pipelines to support data-driven applications. To succeed in this role, one should have a strong foundation in data engineering principles and practices. This course provides a good overview of practical aspects of machine learning and its applications, including optimization algorithms and model evaluation techniques, which are becoming increasingly important for Data Engineers working on machine learning projects.

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Statistician

As a Statistician, you will collect, analyze, and interpret data to help organizations make better decisions. To succeed in this role, one requires a strong foundation in statistics and probability. This course provides a good overview of practical aspects of machine learning and its applications, including optimization algorithms and model evaluation techniques, which are becoming increasingly important for Statisticians working on data-driven projects.

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Consultant

As a Consultant, you will provide expert advice and guidance to clients on a variety of topics. To succeed in this role, one should have a strong understanding of business and industry trends. This course provides a good overview of practical aspects of machine learning and its applications, including optimization algorithms and model evaluation techniques, which are becoming increasingly important for Consultants working on data-driven projects.

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Financial Analyst

As a Financial Analyst, you will analyze financial data and make recommendations to investors. To succeed in this role, one requires a strong foundation in finance and accounting. This course provides a good overview of practical aspects of machine learning and its applications, including optimization algorithms and model evaluation techniques, which are becoming increasingly important for Financial Analysts working on data-driven projects.

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Project Manager

As a Project Manager, you will plan, execute, and close projects. To succeed in this role, one should have a strong understanding of project management principles and practices. This course provides a good overview of practical aspects of machine learning and its applications, including optimization algorithms and model evaluation techniques, which are becoming increasingly important for Project Managers working on data-driven projects.

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Operations Research Analyst

As an Operations Research Analyst, you will use mathematical and statistical models to improve the efficiency of operations. To succeed in this role, one requires a strong foundation in operations research and optimization techniques. This course provides a good overview of practical aspects of machine learning and its applications, including optimization algorithms and model evaluation techniques, which are becoming increasingly important for Operations Research Analysts working on data-driven projects.

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Market Researcher

As a Market Researcher, you will conduct research on target markets to help businesses make better decisions. To succeed in this role, one should have a strong understanding of market research methods and data analysis techniques. This course provides a good overview of practical aspects of machine learning and its applications, including optimization algorithms and model evaluation techniques, which are becoming increasingly important for Market Researchers working on data-driven projects.

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Technical Writer

As a Technical Writer, you will create documentation and other materials to explain technical concepts. To succeed in this role, one should have a strong understanding of technical writing principles and practices. This course provides a good overview of practical aspects of machine learning and its applications, including optimization algorithms and model evaluation techniques, which are becoming increasingly important for Technical Writers working on data-driven projects.

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تعزيز الشبكات العصبية

ضبط وتحسين مقياس فرط المعلمات

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