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Google Cloud Training
Kursus ini menjelaskan cara membuat model keterangan gambar menggunakan deep learning. Anda akan belajar tentang berbagai komponen model keterangan gambar, seperti encoder dan decoder, serta cara melatih dan mengevaluasi model. Pada akhir kursus ini, Anda akan dapat membuat model keterangan gambar Anda sendiri dan menggunakannya untuk menghasilkan teks bagi gambar.
Register for this course and see more details by visiting:
OpenCourser.com/course/kmscu7/create
What's inside
Syllabus
Membuat model keterangan gambar Anda sendiri: Ringkasan
Modul ini menjelaskan cara membuat model keterangan gambar menggunakan deep learning. Anda akan belajar tentang berbagai komponen model keterangan gambar, seperti encoder dan decoder, serta cara melatih dan mengevaluasi model. Pada akhir modul ini, Anda akan dapat membuat model keterangan gambar Anda sendiri dan menggunakannya untuk menghasilkan teks bagi gambar.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Delves into fundamentals that even seasoned practitioners need to strengthen or bone up on
Features facilities and materials that may not be found in a typical home workshop or small business
The course format is multi-modal
Offers interactive elements that enhance understanding and retention
Save this course
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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 - Bahasa Indonesia with these
activities:
Create a glossary of key terms
Show steps
Defining terms will reinforce your understanding of key concepts used in image captioning.
Show steps
-
Go through the course material
-
Identify key terms
-
Write down the definition of each term
Watch a tutorial on deep learning for image captioning
Show steps
Deep learning is used in many different industries to solve various problems. Get started on understanding how it is used for image captioning.
Show steps
-
Find a tutorial on deep learning for image captioning
-
Watch the tutorial and take notes
-
Try out the code from the tutorial on your own
Practice writing image captions
Show steps
The more image captions you write, the better you will become at them. This will allow you to better understand how models function and generate captions.
Show steps
-
Find some images online
-
Write a caption for each image
-
Compare your captions to those generated by a deep learning model
11 other activities
Expand to see all activities and additional details
Show all 14 activities
Review Fundamentals of Deep Learning
Show steps
Solidify your foundational knowledge of deep learning to prepare for the complexities of image caption generation.
Browse courses on
Artificial Neural Networks
Show steps
-
Revisit materials on neural networks and backpropagation.
-
Practice training and evaluating simple neural networks.
-
Explore resources such as Coursera or edX for supplemental learning.
Join a Study Group or Online Forum
Show steps
Engage with peers to exchange ideas, share resources, and provide support.
Show steps
-
Search for study groups or online forums related to image captioning.
-
Join the community and actively participate in discussions.
-
Seek feedback and support from other learners.
Form a study group with other students
Show steps
Joining a study group provides motivation and support for your studies.
Show steps
-
Find someone in your class who shares your interests
-
Meet regularly to discuss the course material
-
Work together on practice problems
-
Study for exams together
Follow Image Captioning Tutorials
Show steps
Gain practical experience in image captioning by following step-by-step tutorials.
Show steps
-
Search for online tutorials on image captioning using tools like Google or YouTube.
-
Select a tutorial that aligns with your skill level and interests.
-
Follow the instructions carefully and complete the exercises.
Create a presentation on image captioning
Show steps
Think about how to explain image captioning to someone who is new to the topic. This activity should help solidify your understanding.
Show steps
-
Gather information about image captioning
-
Outline your presentation
-
Create your presentation slides
-
Practice your presentation
-
Deliver your presentation
Generate Captions for Practice Images
Show steps
Enhance your caption generation skills by practicing on a variety of images.
Show steps
-
Collect a set of images for practice.
-
Study the images and identify their key features.
-
Compose captions that accurately and creatively describe the images.
Build an image captioning model
Show steps
You will apply your skills in deep learning to create an end-to-end model that will take images and generate captions.
Show steps
-
Choose a dataset of images and captions
-
Preprocess the data
-
Train a deep learning model
-
Evaluate the performance of your model
-
Deploy your model
Build a Simple Image Captioning Model
Show steps
Apply your learning by creating a basic image captioning model using tools like TensorFlow or Keras.
Show steps
-
Choose a suitable dataset for training your model.
-
Select an appropriate model architecture and train it on the dataset.
-
Evaluate the performance of your model and make necessary adjustments.
Contribute to an open-source image captioning project
Show steps
By contributing to a real-world project, you will see how image captioning models are used in practice. This can greatly enhance your learning.
Show steps
-
Find an open-source image captioning project
-
Read the project's documentation
-
Identify an area where you can contribute
-
Make your contribution
-
Submit a pull request
Write a Blog Post on Image Captioning Techniques
Show steps
Share your knowledge and understanding by creating a blog post that explores various image captioning techniques.
Show steps
-
Research and gather information on different image captioning techniques.
-
Structure your blog post with clear headings and subheadings.
-
Write engaging content that educates and informs your readers.
Contribute to Open-Source Image Captioning Projects
Show steps
Apply your skills by contributing to open-source projects related to image captioning.
Show steps
-
Identify open-source projects related to image captioning on platforms like GitHub.
-
Review the project documentation and identify areas where you can contribute.
-
Submit pull requests or issue reports to contribute to the project.
Create a glossary of key terms
Show steps
Defining terms will reinforce your understanding of key concepts used in image captioning.
Show steps
Show steps
Show steps
- Go through the course material
- Identify key terms
- Write down the definition of each term
Watch a tutorial on deep learning for image captioning
Show steps
Deep learning is used in many different industries to solve various problems. Get started on understanding how it is used for image captioning.
Show steps
Show steps
Show steps
- Find a tutorial on deep learning for image captioning
- Watch the tutorial and take notes
- Try out the code from the tutorial on your own
Practice writing image captions
Show steps
The more image captions you write, the better you will become at them. This will allow you to better understand how models function and generate captions.
Show steps
Show steps
Show steps
- Find some images online
- Write a caption for each image
- Compare your captions to those generated by a deep learning model
11 other activities
Expand to see all activities and additional details
Show all 14 activities
Review Fundamentals of Deep Learning
Show steps
Solidify your foundational knowledge of deep learning to prepare for the complexities of image caption generation.
Browse courses on
Artificial Neural Networks
Show steps
Show steps
Show steps
- Revisit materials on neural networks and backpropagation.
- Practice training and evaluating simple neural networks.
- Explore resources such as Coursera or edX for supplemental learning.
Join a Study Group or Online Forum
Show steps
Engage with peers to exchange ideas, share resources, and provide support.
Show steps
Show steps
Show steps
- Search for study groups or online forums related to image captioning.
- Join the community and actively participate in discussions.
- Seek feedback and support from other learners.
Form a study group with other students
Show steps
Joining a study group provides motivation and support for your studies.
Show steps
Show steps
Show steps
- Find someone in your class who shares your interests
- Meet regularly to discuss the course material
- Work together on practice problems
- Study for exams together
Follow Image Captioning Tutorials
Show steps
Gain practical experience in image captioning by following step-by-step tutorials.
Show steps
Show steps
Show steps
- Search for online tutorials on image captioning using tools like Google or YouTube.
- Select a tutorial that aligns with your skill level and interests.
- Follow the instructions carefully and complete the exercises.
Create a presentation on image captioning
Show steps
Think about how to explain image captioning to someone who is new to the topic. This activity should help solidify your understanding.
Show steps
Show steps
Show steps
- Gather information about image captioning
- Outline your presentation
- Create your presentation slides
- Practice your presentation
- Deliver your presentation
Generate Captions for Practice Images
Show steps
Enhance your caption generation skills by practicing on a variety of images.
Show steps
Show steps
Show steps
- Collect a set of images for practice.
- Study the images and identify their key features.
- Compose captions that accurately and creatively describe the images.
Build an image captioning model
Show steps
You will apply your skills in deep learning to create an end-to-end model that will take images and generate captions.
Show steps
Show steps
Show steps
- Choose a dataset of images and captions
- Preprocess the data
- Train a deep learning model
- Evaluate the performance of your model
- Deploy your model
Build a Simple Image Captioning Model
Show steps
Apply your learning by creating a basic image captioning model using tools like TensorFlow or Keras.
Show steps
Show steps
Show steps
- Choose a suitable dataset for training your model.
- Select an appropriate model architecture and train it on the dataset.
- Evaluate the performance of your model and make necessary adjustments.
Contribute to an open-source image captioning project
Show steps
By contributing to a real-world project, you will see how image captioning models are used in practice. This can greatly enhance your learning.
Show steps
Show steps
Show steps
- Find an open-source image captioning project
- Read the project's documentation
- Identify an area where you can contribute
- Make your contribution
- Submit a pull request
Write a Blog Post on Image Captioning Techniques
Show steps
Share your knowledge and understanding by creating a blog post that explores various image captioning techniques.
Show steps
Show steps
Show steps
- Research and gather information on different image captioning techniques.
- Structure your blog post with clear headings and subheadings.
- Write engaging content that educates and informs your readers.
Contribute to Open-Source Image Captioning Projects
Show steps
Apply your skills by contributing to open-source projects related to image captioning.
Show steps
Show steps
Show steps
- Identify open-source projects related to image captioning on platforms like GitHub.
- Review the project documentation and identify areas where you can contribute.
- Submit pull requests or issue reports to contribute to the project.
Career center
Learners who complete Create Image Captioning Models - Bahasa Indonesia will develop knowledge and skills
that may be useful to these careers:
Insinyur Visi Komputer
Insinyur Visi Komputer
Insinyur Visi Komputer mengembangkan dan menerapkan algoritme untuk membuat komputer melihat dan memahami gambar. Kursus ini memberikan dasar yang kuat dalam pembelajaran mendalam, yang merupakan teknologi utama yang digunakan dalam visi komputer. Pengetahuan ini akan membantu Insinyur Visi Komputer membangun sistem yang lebih akurat dan efisien untuk memproses gambar.
Insinyur Kecerdasan Buatan
Insinyur Kecerdasan Buatan
Insinyur Kecerdasan Buatan mengembangkan dan menerapkan sistem kecerdasan buatan. Kursus ini memberikan dasar yang kuat dalam pembelajaran mendalam, yang merupakan teknologi utama yang digunakan dalam kecerdasan buatan. Pengetahuan ini akan membantu Insinyur Kecerdasan Buatan membangun sistem yang lebih canggih dan cerdas.
Ilmuwan Riset
Ilmuwan Riset
Ilmuwan Riset merancang, melaksanakan, dan menganalisis eksperimen untuk menambah pengetahuan ilmiah. Kursus ini memberikan dasar yang kuat dalam pembelajaran mendalam, yang merupakan teknologi utama yang digunakan dalam pemrosesan gambar. Pengetahuan ini akan membantu Ilmuwan Riset mengembangkan algoritme yang lebih canggih untuk menganalisis gambar dan menghasilkan teks yang relevan.
Ilmuwan Data
Ilmuwan Data
Ilmuwan Data mengumpulkan, membersihkan, dan menganalisis data untuk mengidentifikasi tren dan pola. Kursus ini membantu Ilmuwan Data membangun keterampilan dalam pemrosesan gambar, yang penting untuk menganalisis data gambar. Pengetahuan ini akan memungkinkan Ilmuwan Data mengekstrak wawasan yang lebih berharga dari data gambar.
Analis Data
Analis Data
Analis Data mengumpulkan, membersihkan, dan menganalisis data untuk mengidentifikasi tren dan pola. Kursus ini membantu Analis Data membangun keterampilan dalam pemrosesan gambar, yang penting untuk menganalisis data gambar. Pengetahuan ini akan memungkinkan Analis Data mengekstrak wawasan yang lebih berharga dari data gambar.
Analis Risiko
Analis Risiko
Analis Risiko mengidentifikasi dan menganalisis risiko yang dihadapi organisasi. Kursus ini membantu Analis Risiko membangun keterampilan dalam pemrosesan gambar, yang penting untuk menganalisis data risiko dan membuat prediksi. Pengetahuan ini akan memungkinkan Analis Risiko membuat model yang lebih akurat dan mengelola risiko dengan lebih baik.
Pengembang Perangkat Lunak
Pengembang Perangkat Lunak
Pengembang Perangkat Lunak merancang, mengembangkan, dan memelihara aplikasi perangkat lunak. Kursus ini membantu Pengembang Perangkat Lunak membangun keterampilan dalam pemrosesan gambar, yang penting untuk mengembangkan aplikasi yang dapat menganalisis dan menghasilkan gambar. Pengetahuan ini akan memungkinkan Pengembang Perangkat Lunak membangun aplikasi yang lebih canggih dan inovatif.
Analis Kuantitatif
Analis Kuantitatif
Analis Kuantitatif mengembangkan dan menerapkan model matematika untuk membuat keputusan investasi. Kursus ini membantu Analis Kuantitatif membangun keterampilan dalam pemrosesan gambar, yang penting untuk menganalisis data keuangan dan membuat prediksi. Pengetahuan ini akan memungkinkan Analis Kuantitatif membuat model yang lebih akurat dan menguntungkan.
Ekonom
Ekonom
Ekonom menganalisis data ekonomi untuk mengidentifikasi tren dan pola. Kursus ini membantu Ekonom membangun keterampilan dalam pemrosesan gambar, yang penting untuk menganalisis data ekonomi dan membuat prediksi. Pengetahuan ini akan memungkinkan Ekonom membuat model yang lebih akurat dan memprediksi tren ekonomi dengan lebih baik.
Wartawan Data
Wartawan Data
Wartawan Data mengumpulkan dan menganalisis data untuk membuat cerita berita. Kursus ini membantu Wartawan Data membangun keterampilan dalam pemrosesan gambar, yang penting untuk menganalisis data gambar dan membuat visualisasi. Pengetahuan ini akan memungkinkan Wartawan Data membuat cerita yang lebih menarik dan informatif.
Peneliti Operasional
Peneliti Operasional
Peneliti Operasional merancang dan menganalisis sistem untuk meningkatkan efisiensi dan produktivitas. Kursus ini membantu Peneliti Operasional membangun keterampilan dalam pemrosesan gambar, yang penting untuk menganalisis data operasional dan membuat rekomendasi. Pengetahuan ini akan memungkinkan Peneliti Operasional membuat solusi yang lebih optimal dan efisien.
Konsultan Manajemen
Konsultan Manajemen
Konsultan Manajemen menganalisis masalah bisnis dan mengembangkan solusi untuk meningkatkan kinerja. Kursus ini membantu Konsultan Manajemen memahami potensi pemrosesan gambar dan bagaimana hal itu dapat digunakan untuk mengotomatiskan tugas dan meningkatkan pengambilan keputusan. Pengetahuan ini akan memungkinkan Konsultan Manajemen membuat rekomendasi yang lebih tepat kepada klien.
Arsitek Data
Arsitek Data
Arsitek Data merancang dan mengelola arsitektur data organisasi. Kursus ini membantu Arsitek Data memahami potensi pemrosesan gambar dan bagaimana hal itu dapat digunakan untuk mengintegrasikan dan mengelola data gambar. Pengetahuan ini akan memungkinkan Arsitek Data membuat arsitektur data yang lebih optimal dan efisien.
Analis Bisnis
Analis Bisnis
Analis Bisnis menganalisis kebutuhan bisnis dan mengembangkan solusi untuk meningkatkan efisiensi dan profitabilitas. Kursus ini membantu Analis Bisnis memahami potensi pemrosesan gambar dan bagaimana hal itu dapat digunakan untuk mengotomatiskan tugas dan meningkatkan pengambilan keputusan. Pengetahuan ini akan memungkinkan Analis Bisnis membuat rekomendasi yang lebih tepat kepada manajemen.
Manajer Produk
Manajer Produk
Manajer Produk mengelola pengembangan dan peluncuran produk. Kursus ini membantu Manajer Produk memahami potensi pemrosesan gambar dan bagaimana hal itu dapat digunakan untuk meningkatkan produk mereka. Pengetahuan ini akan memungkinkan Manajer Produk membuat keputusan yang lebih tepat tentang fitur dan fungsi produk yang terkait dengan gambar.
For more career information including salaries, visit:
OpenCourser.com/course/kmscu7/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 - Bahasa Indonesia.
Provides a comprehensive overview of natural language processing (NLP) and deep learning, with a focus on practical applications. It covers a wide range of topics, including image captioning, machine translation, and question answering.
Provides a comprehensive overview of deep learning for NLP, with a focus on theoretical foundations and practical applications. It covers a wide range of topics, including image captioning, machine translation, and question answering.
Save
Provides a comprehensive overview of computer vision, with a focus on algorithms and applications. It covers a wide range of topics, including image formation, image processing, and object recognition.
Provides a comprehensive overview of pattern recognition and machine learning, with a focus on theoretical foundations and practical applications. It covers a wide range of topics, including image processing, image recognition, and natural language processing.
Provides a comprehensive overview of machine learning systems, with a focus on Python. It covers a wide range of topics, including data preprocessing, model training, and deployment.
Provides a comprehensive overview of deep learning with Python, a popular programming language for deep learning. It covers a wide range of topics, including image classification, object detection, and natural language processing.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/kmscu7/create
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Level
Advanced
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Transcript
Bahasa Indonesia
Good to know
Delves into fundamentals that even seasoned practitioners need to strengthen or bone up on
Features facilities and materials that may not be found in a typical home workshop or small business
The course format is multi-modal
Offers interactive elements that enhance understanding and retention
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