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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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What's inside
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
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
Show steps
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
Show steps
-
Go through a Python tutorial
-
Solve some basic Python exercises
Join a study group focused on image captioning
Show steps
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
Show steps
-
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
Show steps
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.
Show steps
-
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
Expand to see all activities and additional details
Show all seven activities
Solve coding exercises related to image captioning
Show steps
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
Show steps
-
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
Show steps
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
Show steps
-
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
Show steps
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
Show steps
-
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
Show steps
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
Show steps
-
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
Review Python basics
Show steps
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
Show steps
Show steps
Show steps
- Go through a Python tutorial
- Solve some basic Python exercises
Join a study group focused on image captioning
Show steps
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
Show steps
Show steps
Show steps
- 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
Show steps
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.
Show steps
Show steps
Show steps
- 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
Expand to see all activities and additional details
Show all seven activities
Solve coding exercises related to image captioning
Show steps
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
Show steps
Show steps
Show steps
- 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
Show steps
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
Show steps
Show steps
Show steps
- 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
Show steps
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
Show steps
Show steps
Show steps
- 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
Show steps
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
Show steps
Show steps
Show steps
- 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 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.
Research Scientist
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.
Computer Vision Programmer
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.
BI Analyst
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.
Machine Learning Engineer
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.
Natural Language Processing 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.
Data 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.
Web Developer
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.
Software 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.
Data Analyst
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.
Systems 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.
Database Administrator
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.
Software Engineer
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.
Product Manager
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.
UX Designer
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.
For more career information including salaries, visit:
OpenCourser.com/course/u7xztq/create
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.
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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.
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.
Classic textbook on computer vision. It provides a comprehensive overview of the field and is an essential resource for anyone interested in this field.
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.
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.
Save
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.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/u7xztq/create
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Level
Advanced
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
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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