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Create Image Captioning Models - בעברית

בקורס הזה תלמדו איך ליצור מודל הוספת כיתוב לתמונה באמצעות למידה עמוקה (Deep Learning). אתם תלמדו על הרכיבים השונים במודל הוספת כיתוב לתמונה, כמו המקודד והמפענח, ואיך לאמן את המודל ולהעריך את הביצועים שלו. בסוף הקורס תוכלו ליצור מודלים להוספת כיתוב לתמונה ולהשתמש בהם כדי ליצור כיתובים לתמונות

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Syllabus

יצירת מודלים של הוספת כיתוב לתמונה: סקירה כללית

ביחידה הזאת נלמד איך ליצור מודל הוספת כיתוב לתמונה באמצעות למידה עמוקה (Deep Learning). אתם תלמדו על הרכיבים השונים במודל הוספת כיתוב לתמונה, כמו המקודד והמפענח, ואיך לאמן את המודל ולהעריך את הביצועים שלו. בסוף היחידה תוכלו ליצור מודלים להוספת כיתוב לתמונה ולהשתמש בהם כדי ליצור כיתובים לתמונות

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

מיועד לסטודנטים עם רקע במחשב שלא נעזר בהם בעבר בלמידה עמוקה

מלמד למידה עמוקה, תאורטי וככלי מעשי, ביישום מודל הוספת כיתוב לתמונה

לומדים את שיפור ביצועי המודל והערכת איכותו

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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 Create Image Captioning Models - בעברית with these activities:

Review Python basics

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Reviewing Python basics will help solidify your understanding of the core concepts of the language and prepare you for the more advanced topics covered in this course.

Browse courses on Python Basics

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Go through a Python tutorial
Solve some basic Python exercises

Join a study group focused on image captioning

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Joining a study group focused on image captioning will allow you to collaborate with other students, share knowledge, and learn from each other's experiences.

Browse courses on Image Captioning

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Find a study group or create your own
Set regular meeting times
Discuss course material, work on projects, and prepare for assessments together

Follow a tutorial on image captioning models

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Following a tutorial on image captioning models will provide you with a structured learning experience and help you build a practical understanding of the concepts covered in this course.

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Find a reputable tutorial on image captioning models
Follow the tutorial step-by-step
Implement the model and experiment with different parameters

Four other activities

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Solve coding exercises related to image captioning

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Solving coding exercises related to image captioning will help you develop your programming skills and apply the concepts covered in this course to practical problems.

Browse courses on Image Captioning

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Find coding exercises online or in textbooks
Solve the exercises самостоятельно
Compare your solutions to others or discuss them with a study group

Write a blog post on a specific aspect of image captioning

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Writing a blog post on a specific aspect of image captioning will force you to synthesize your understanding of the topic and communicate it clearly to others, which can greatly enhance your learning.

Browse courses on Image Captioning

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Choose a specific aspect of image captioning to focus on
Research the topic thoroughly
Write a draft of your blog post
Get feedback on your draft
Publish your blog post

Build a simple image captioning model as a project

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Building a simple image captioning model as a project will allow you to apply the concepts covered in this course to a real-world problem and gain hands-on experience with the entire process.

Browse courses on Image Captioning

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Define the project scope and objectives
Gather data and prepare it for training
Design and implement the model
Train and evaluate the model
Deploy the model and evaluate its performance

Participate in a hackathon or competition related to image captioning

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Participating in a hackathon or competition related to image captioning will push you to apply your skills to a challenging problem and learn from others in the field.

Browse courses on Image Captioning

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Find a hackathon or competition that aligns with your interests
Form a team or work independently
Develop a solution to the problem statement
Present your solution and compete against other teams

Career center

Learners who complete Create Image Captioning Models - בעברית will develop knowledge and skills that may be useful to these careers:

AI Engineer

AI Engineers combine computer science, software engineering, and machine learning to solve complex problems. Those working in this role will need strong coding skills as well as a comprehensive understanding of Artificial Intelligence. This course provides significant training on AI principles and models and can help those looking to enter or advance in this field.

See salaries and explore the career path for AI Engineer

Research Scientist

Research Scientists are responsible for pushing the boundaries of scientific knowledge. This work is often highly specialized and requires advanced degrees. Those looking to work as a Research Scientist will need to master AI principles and utilize those principles to design and execute scientific experiments. This course will help build the AI skills needed by Research Scientists and will prepare them for the advanced degrees typically needed to succeed in this field.

See salaries and explore the career path for Research Scientist

Computer Vision Programmer

Computer Vision Programmers are capable of creating applications that provide computers with the ability to derive meaningful information from digital images. Those working in this role will need experience with image recognition and analysis. This course will provide the knowledge needed in image recognition, which is a key aspect of succeeding as a Computer Vision Programmer.

See salaries and explore the career path for Computer Vision Programmer

BI Analyst

BI Analysts collect, analyze, and interpret data to help organizations make better decisions. Those working in this role will need strong analytical skills and the ability to communicate insights effectively. This course can help build the data analysis skills needed to excel as a BI Analyst and can help prepare candidates for this role.

See salaries and explore the career path for BI Analyst

Machine Learning Engineer

Machine Learning Engineers can work on tasks such as developing, testing, and evaluating algorithms. Those in this role will need a strong foundation in data science and deep learning. This course will provide comprehensive training on the deep learning aspect of this role and will provide a solid foundation for those looking to enter this field.

See salaries and explore the career path for Machine Learning Engineer

Natural Language Processing Engineer

Natural Language Processing Engineers create AI systems that understand and generate human-like text. Those working in this field will need to develop expertise in key elements of NLP, including neural network architecture. This course will teach the fundamentals of those Neural Networks, which can help prepare someone looking to enter or advance in this field.

See salaries and explore the career path for Natural Language Processing Engineer

Data Engineer

Data Engineers build, maintain, and manage data pipelines. Those working in this role will need a strong foundation in data management and an understanding of relevant tools and technologies. This course may help build the data management skills needed to work as a Data Engineer.

See salaries and explore the career path for Data Engineer

Web Developer

Web Developers are responsible for the design and development of websites. Those working in this role will need a strong understanding of web development technologies and the ability to work effectively as part of a team. This course can build some of the programming knowledge needed to excel as a Web Developer and will prepare learners for entry into this field.

See salaries and explore the career path for Web Developer

Software Developer

Software Developers design, build, and maintain software applications. Those working in this role will need strong programming skills and an understanding of software development methodologies. This course can build the programming knowledge needed to work as a Software Developer.

See salaries and explore the career path for Software Developer

Data Analyst

Data Analysts use large datasets to help companies make effective decisions. Those working in this role will have to be capable of collecting, cleaning, and parsing data effectively. The Deep Learning component of this course can help learners master those duties and will provide a foundation in the work of a Data Analyst.

See salaries and explore the career path for Data Analyst

Systems Analyst

Systems Analysts are responsible for the analysis, design, and implementation of computer systems. Those working in this role will need a strong understanding of systems analysis techniques and the ability to work effectively with stakeholders. This course may help build some of the analytical thinking skills needed to work as a Systems Analyst.

See salaries and explore the career path for Systems Analyst

Database Administrator

Database Administrators are responsible for the maintenance and management of databases. Those working in this role will need a strong understanding of database management systems and the ability to work with data effectively. This course may build some of the database skills needed to work as a Database Administrator.

See salaries and explore the career path for Database Administrator

Software Engineer

Software Engineers are in charge of the design, construction, and deployment of a wide range of software applications. Those working in this role will need a strong foundation in computer science principles, as well as the ability to work effectively as part of a team. This course will provide the foundational knowledge needed for Software Engineers and will prepare learners for entry into this field.

See salaries and explore the career path for Software Engineer

Product Manager

Product Managers are responsible for the planning, development, and launch of new products. Those working in this role will need a strong understanding of product development principles and the ability to work effectively with cross-functional teams. This course may be helpful for understanding the role of AI in product development, which could be helpful for some Product Managers.

See salaries and explore the career path for Product Manager

UX Designer

UX Designers are responsible for the design and usability of digital products. Those working in this role will need a strong understanding of human-computer interaction principles and the ability to create user-friendly interfaces. While this course may not be directly relevant to UX Design, it could be helpful for understanding how computers process and analyze images, which could be helpful for some UX tasks.

See salaries and explore the career path for UX Designer

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 Create Image Captioning Models - בעברית.

Deep Learning

Save

Classic textbook on deep learning. It provides a comprehensive overview of the field, covering a wide range of topics from basic concepts to advanced techniques. It is an essential resource for anyone interested in this field.

(English) Deep Learning

Paperback

$$$

(English) Deep Learning (Adaptive Computation and Machine...

Hardcover

$$$

(English) Deep Learning (Adaptive Computation and Machine...

Kindle Edition

$$$

Reinforcement Learning, second edition

Save

Is the classic textbook on reinforcement learning. It provides a comprehensive overview of the field and is an essential resource for anyone interested in this field.

(English) Reinforcement Learning, second edition: An...

Hardcover

$$$

(English) Reinforcement Learning, second edition: An...

Kindle Edition

$$$

Probability and Statistics for Computer Science

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Classic textbook on computer vision. It provides a comprehensive overview of the field and is an essential resource for anyone interested in this field.

(English) Probability and Statistics for Computer Science

Paperback

$$$

(English) Probability and Statistics for Computer Science

Kindle Edition

$$$

Mathematics for Machine Learning

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Provides a comprehensive overview of the mathematical foundations of machine learning. It covers a wide range of topics, including linear algebra, probability theory, and optimization. It is an essential resource for anyone interested in a deeper understanding of the field.

(English) Mathematics for Machine Learning

Kindle Edition

Probabilistic Graphical Models

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Provides a comprehensive overview of probabilistic graphical models. It covers a wide range of topics, including Bayesian networks, Markov random fields, and graphical models for learning. It is an essential resource for anyone interested in a deeper understanding of the field.

(English) Probabilistic Graphical Models: Principles and...

Hardcover

$$$$

(English) Probabilistic Graphical Models: Principles and...

Kindle Edition

$$$

Computer Vision

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Classic textbook on computer vision, covering a wide range of topics from image formation and processing to object recognition and tracking. It valuable resource for anyone interested in a deeper understanding of the field.

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Level

Advanced

Via

Coursera

Institution

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Instructor

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Language

עברית

Transcript

English

Good to know

מיועד לסטודנטים עם רקע במחשב שלא נעזר בהם בעבר בלמידה עמוקה

מלמד למידה עמוקה, תאורטי וככלי מעשי, ביישום מודל הוספת כיתוב לתמונה

לומדים את שיפור ביצועי המודל והערכת איכותו

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