بناء Neural Network مكونه من 3 طبقات بأستخدام لغة Python from Coursera

في نهاية هذا المشروع ، ستنشئ Neural Network بسيطة تتكون من 3 طبقات: طبقة الإدخال والطبقة المخفية وطبقة الإخراج باستخدام python . سوف تكون قادرًا على تحديد المفاهيم الأساسية للتعلم الآلي وأنواعه وال algorithms المختلفة ومتى تستخدم بالضبط كل منها. ستتمكن أيضًا من تنفيذ جميع functions المطلوبة التي ستساعدك في بناء الشبكة ، واختبار هذه الfunctions ، وأخيرًا ، ستتمكن من اختبار ال neural network بالكامل وحساب دقتها. في هذا المشروع ، سنستخدم Python IDLE لأن لغة Python هي واحدة من أكثر لغات البرمجة المتاحة التي يمكن الوصول إليها بسبب تركيبها المبسط الذي يركز على اللغة الطبيعية ، ويستخدم بشكل كبير في تطبيقات التعلم الآلي وعلوم البيانات...

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Students with some familiarity with programming in Python programming language will find that this course further enhances their knowledge

Teaches the vital concepts of machine learning , its types, and various algorithms

Guides students through the steps of building a neural network from scratch, including input layer, hidden layer, and output layer

Enhances practical skills in writing functions for building and testing neural networks in Python

Uses Python IDLE, making it accessible to beginners and experienced programmers alike

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 بناء Neural Network مكونه من 3 طبقات بأستخدام لغة Python with these activities:

Form a study group with classmates

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Enhance your understanding through collaborative learning by forming a study group with classmates.

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Identify classmates who are interested in forming a study group.
Set regular meeting times and locations.
Establish a communication channel for the group.
Take turns leading discussions and sharing your knowledge.

Review the concepts of linear algebra

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Ensure a solid foundation before starting this course by reviewing the concepts of linear algebra.

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Review your notes or textbooks from a previous linear algebra course.
Watch online videos or tutorials on linear algebra.
Solve practice problems to test your understanding.
Focus on concepts such as vector spaces, matrices, and linear transformations.

Review matrix multiplication

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Begin this course by making sure you are proficient with matrix multiplication through review and practice.

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Find resources like tutorials, online exercises, or practice problems.
Practice multiplying matrices by hand multiple times.
Check your solutions against an online matrix calculator.
Consider using a whiteboard or physical matrix blocks for better visualization.

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Complete the Coursera tutorial on Neural Networks

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Build your neural network knowledge by completing the Coursera tutorial on neural networks.

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Sign up for a Coursera account.
Enroll in the "Neural Networks and Deep Learning" specialization.
Complete the first module, "Introduction to Neural Networks".
Watch the video lectures, read the course materials, and complete the quizzes.

Identify mentors in the field of machine learning

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Enhance your learning journey by connecting with experienced mentors in the field of machine learning.

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Attend industry events and conferences.
Join online communities and forums related to machine learning.
Reach out to professors or researchers in the field.
Ask for recommendations from your peers.

Solve coding exercises on LeetCode

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Enhance your coding skills by solving coding exercises on LeetCode.

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Create a LeetCode account.
Choose a problem difficulty level.
Solve the problem using Python.
Submit your solution.
Review the solutions of others.

Participate in Kaggle competitions

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Test and sharpen your machine learning skills by participating in Kaggle competitions.

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Create a Kaggle account.
Choose a competition that aligns with your interests and skill level.
Download the competition data and familiarize yourself with the problem.
Build and train your machine learning model.
Submit your predictions and track your progress on the leaderboard.

Career center

Learners who complete بناء Neural Network مكونه من 3 طبقات بأستخدام لغة Python will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

Machine Learning Engineers design, develop, and deploy machine learning models. This course provides a hands-on introduction to building and training neural networks, which are a key component of many machine learning applications. By completing this course, aspiring Machine Learning Engineers can gain valuable experience and enhance their skills in this in-demand field.

See salaries and explore the career path for Machine Learning Engineer

Data Analyst

Data Analysts collect, clean, and analyze data to help organizations make informed decisions. This course provides an introduction to machine learning and neural networks, which are valuable tools for data analysis. By completing this course, aspiring Data Analysts can enhance their skills and become more effective in their roles.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists analyze data to extract insights and help organizations make informed decisions. This course provides a strong foundation in the fundamentals of machine learning, including neural networks, which are essential for data science. By understanding the concepts and techniques taught in this course, aspiring Data Scientists can build a solid foundation for success in this field.

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Quantitative Analyst

Quantitative Analysts use mathematical and statistical techniques to analyze financial data. This course provides a foundation in machine learning and neural networks, which are increasingly used in quantitative analysis. By understanding these concepts, aspiring Quantitative Analysts can enhance their skills and become more competitive in the job market.

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Software Engineer

Software Engineers design, develop, and maintain software applications. This course provides a foundation in the principles of machine learning and neural networks, which are increasingly used in software development. By understanding these concepts, aspiring Software Engineers can expand their skillset and become more competitive in the job market.

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Business Analyst

Business Analysts help organizations improve their performance by identifying and solving business problems. This course provides an introduction to machine learning and neural networks, which are becoming increasingly important for business analysis. By completing this course, aspiring Business Analysts can gain valuable insights and enhance their skills.

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Product Manager

Product Managers are responsible for the development and launch of new products. This course provides an introduction to machine learning and neural networks, which are increasingly used in product development. By understanding these concepts, aspiring Product Managers can gain valuable insights and enhance their skills.

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Project Manager

Project Managers plan, execute, and close projects. This course provides an introduction to machine learning and neural networks, which are becoming increasingly important for project management. By completing this course, aspiring Project Managers can gain valuable insights and enhance their skills.

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Consultant

Consultants provide advice and guidance to organizations on a variety of topics. This course provides an introduction to machine learning and neural networks, which are increasingly used in consulting. By completing this course, aspiring Consultants can gain valuable insights and enhance their skills.

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Teacher

Teachers educate students in a variety of subjects. This course provides an introduction to machine learning and neural networks, which are increasingly used in education. By completing this course, aspiring Teachers can gain valuable insights and enhance their skills.

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Researcher

Researchers conduct original research in a variety of fields. This course provides an introduction to machine learning and neural networks, which are increasingly used in research. By completing this course, aspiring Researchers can gain valuable insights and enhance their skills.

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Writer

Writers create content for a variety of purposes. This course provides an introduction to machine learning and neural networks, which are increasingly used in writing. By completing this course, aspiring Writers can gain valuable insights and enhance their skills.

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Journalist

Journalists gather and report news and information. This course provides an introduction to machine learning and neural networks, which are increasingly used in journalism. By completing this course, aspiring Journalists can gain valuable insights and enhance their skills.

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Salesperson

Salespeople sell products and services to customers. This course provides an introduction to machine learning and neural networks, which are increasingly used in sales. By completing this course, aspiring Salespeople can gain valuable insights and enhance their skills.

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Marketer

Marketers promote products and services to consumers. This course provides an introduction to machine learning and neural networks, which are increasingly used in marketing. By completing this course, aspiring Marketers can gain valuable insights and enhance their skills.

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بناء Neural Network مكونه من 3 طبقات بأستخدام لغة Python

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