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Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you'll learn about how to use convolutional neural networks to improve your image classification models.
Register for this course and see more details by visiting:
OpenCourser.com/course/wd6epp/classify
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What's inside
Syllabus
Classify Images with TensorFlow Convolutional Neural Networks
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Meant for learners who want to learn and apply deep learning techniques to image classification
Provides a comprehensive overview of deep learning models for image classification
Offers hands-on experience through labs and interactive materials
Establishes a strong foundation for learners new to deep learning
Save this course
Save Classify Images with TensorFlow Convolutional Neural Networks to your list so you can find it easily later:
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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 Classify Images with TensorFlow Convolutional Neural Networks with these
activities:
Organize Course Materials
Show steps
Stay organized by compiling and reviewing course materials
Show steps
-
Organize notes
-
Review assignments
-
Take practice quizzes
Review Deep Learning Book
Show steps
Review Deep Learning by Goodfellow, Bengio, and Courville to lay foundational knowledge for course
View
Deep Learning
on Amazon
Show steps
-
Read chapters 1-3
-
Complete exercises in chapters 1-3
-
Summarize key concepts from chapters 1-3
Keras Tutorial
Show steps
Enhance practical skills by following a guided Keras tutorial to build an image classification model
Browse courses on
Keras
Show steps
-
Follow Keras Tutorial
-
Build image classification model
-
Evaluate model performance
Four other activities
Expand to see all activities and additional details
Show all seven activities
TensorFlow Tutorial
Show steps
Reinforce understanding of TensorFlow by completing practice drills and exercises in official TensorFlow Tutorial
Browse courses on
TensorFlow
Show steps
-
Walk through TensorFlow Tutorial
-
Complete exercises in TensorFlow Tutorial
-
Create a small TensorFlow project
Study Group Discussions
Show steps
Collaborate with peers to reinforce concepts and clarify misunderstandings
Show steps
-
Join or form study group
-
Discuss course materials
-
Complete group activities
CNNs Blog Post
Show steps
Synthesize knowledge by writing a blog post explaining the concepts of Convolutional Neural Networks
Browse courses on
Convolutional Neural Networks
Show steps
-
Research CNNs
-
Write blog post
-
Publish blog post
CNNs Project
Show steps
Apply knowledge in a project by building a Convolutional Neural Network for image classification and evaluate its performance
Browse courses on
Convolutional Neural Networks
Show steps
-
Define project scope
-
Collect and prepare dataset
-
Build CNN model
-
Train and evaluate model
Organize Course Materials
Show steps
Stay organized by compiling and reviewing course materials
Show steps
Show steps
Show steps
- Organize notes
- Review assignments
- Take practice quizzes
Review Deep Learning Book
Show steps
Review Deep Learning by Goodfellow, Bengio, and Courville to lay foundational knowledge for course
View
Deep Learning
on Amazon
Show steps
Show steps
Show steps
- Read chapters 1-3
- Complete exercises in chapters 1-3
- Summarize key concepts from chapters 1-3
Keras Tutorial
Show steps
Enhance practical skills by following a guided Keras tutorial to build an image classification model
Browse courses on
Keras
Show steps
Show steps
Show steps
- Follow Keras Tutorial
- Build image classification model
- Evaluate model performance
Four other activities
Expand to see all activities and additional details
Show all seven activities
TensorFlow Tutorial
Show steps
Reinforce understanding of TensorFlow by completing practice drills and exercises in official TensorFlow Tutorial
Browse courses on
TensorFlow
Show steps
Show steps
Show steps
- Walk through TensorFlow Tutorial
- Complete exercises in TensorFlow Tutorial
- Create a small TensorFlow project
Study Group Discussions
Show steps
Collaborate with peers to reinforce concepts and clarify misunderstandings
Show steps
Show steps
Show steps
- Join or form study group
- Discuss course materials
- Complete group activities
CNNs Blog Post
Show steps
Synthesize knowledge by writing a blog post explaining the concepts of Convolutional Neural Networks
Browse courses on
Convolutional Neural Networks
Show steps
Show steps
Show steps
- Research CNNs
- Write blog post
- Publish blog post
CNNs Project
Show steps
Apply knowledge in a project by building a Convolutional Neural Network for image classification and evaluate its performance
Browse courses on
Convolutional Neural Networks
Show steps
Show steps
Show steps
- Define project scope
- Collect and prepare dataset
- Build CNN model
- Train and evaluate model
Career center
Learners who complete Classify Images with TensorFlow Convolutional Neural Networks will develop knowledge and skills
that may be useful to these careers:
Computer Vision Engineer
Computer Vision Engineer
As a Computer Vision Engineer, you will be responsible for developing and implementing computer vision algorithms and systems. This course may be useful for you because it will teach you how to use TensorFlow Convolutional Neural Networks to improve your image classification models. This is a valuable skill for Computer Vision Engineers, as image classification is a fundamental task in computer vision.
Machine Learning Engineer
Machine Learning Engineer
As a Machine Learning Engineer, you will be responsible for collecting and analyzing data, developing and deploying machine learning models, and monitoring their performance. This course may be useful for you because it will teach you how to use TensorFlow Convolutional Neural Networks to improve your image classification models. This is a valuable skill for Machine Learning Engineers, as image classification is a common task in many machine learning applications.
Business Analyst
Business Analyst
As a Business Analyst, you will be responsible for analyzing business processes and developing solutions to improve efficiency and productivity. This course may be useful for you because it will teach you how to use TensorFlow Convolutional Neural Networks to improve your image classification models. This skill can be helpful for Business Analysts, as image classification is a common task in many business analysis projects.
Software Engineer
Software Engineer
As a Software Engineer, you will be responsible for designing, developing, and testing software applications. This course may be useful for you because it will teach you how to use TensorFlow Convolutional Neural Networks to improve your image classification models. This skill can be helpful for Software Engineers, as image classification is a common task in many software applications.
Product Manager
Product Manager
As a Product Manager, you will be responsible for managing the development and launch of new products. This course may be useful for you because it will teach you how to use TensorFlow Convolutional Neural Networks to improve your image classification models. This skill can be helpful for Product Managers, as image classification is a common task in many product development processes.
Consultant
Consultant
As a Consultant, you will be responsible for providing advice and guidance to clients on a variety of business issues. This course may be useful for you because it will teach you how to use TensorFlow Convolutional Neural Networks to improve your image classification models. This skill can be helpful for Consultants, as image classification is a common task in many consulting projects.
Editor
Editor
As an Editor, you will be responsible for editing and proofreading written content. This course may be useful for you because it will teach you how to use TensorFlow Convolutional Neural Networks to improve your image classification models. This skill can be helpful for Editors, as image classification is a common task in many editing projects.
Museum curator
Museum curator
As a Museum Curator, you will be responsible for managing and curating museum collections. This course may be useful for you because it will teach you how to use TensorFlow Convolutional Neural Networks to improve your image classification models. This skill can be helpful for Museum Curators, as image classification is a common task in many museum projects.
Teacher
Teacher
As a Teacher, you will be responsible for teaching students about a variety of subjects. This course may be useful for you because it will teach you how to use TensorFlow Convolutional Neural Networks to improve your image classification models. This skill can be helpful for Teachers, as image classification is a common task in many teaching materials.
Research Scientist
Research Scientist
As a Research Scientist, you will be responsible for conducting research in the field of computer science. This course may be useful for you because it will teach you how to use TensorFlow Convolutional Neural Networks to improve your image classification models. This skill can be helpful for Research Scientists, as image classification is a common task in many computer science research projects.
Writer
Writer
As a Writer, you will be responsible for writing articles, blog posts, and other content. This course may be useful for you because it will teach you how to use TensorFlow Convolutional Neural Networks to improve your image classification models. This skill can be helpful for Writers, as image classification is a common task in many writing projects.
Archivist
Archivist
As an Archivist, you will be responsible for preserving and managing historical documents and artifacts. This course may be useful for you because it will teach you how to use TensorFlow Convolutional Neural Networks to improve your image classification models. This skill can be helpful for Archivists, as image classification is a common task in many archival projects.
Librarian
Librarian
As a Librarian, you will be responsible for managing and organizing library collections. This course may be useful for you because it will teach you how to use TensorFlow Convolutional Neural Networks to improve your image classification models. This skill can be helpful for Librarians, as image classification is a common task in many library projects.
Data Scientist
Data Scientist
As a Data Scientist, you will be responsible for collecting, cleaning, and analyzing data to uncover insights and trends. This course may be useful for you because it will teach you how to use TensorFlow Convolutional Neural Networks to improve your image classification models. This skill can be helpful for Data Scientists, as image classification is a common task in many data science applications.
Artificial Intelligence Engineer
Artificial Intelligence Engineer
As an Artificial Intelligence Engineer, you will be responsible for designing, developing, and implementing artificial intelligence systems. This course may be useful for you because it will teach you how to use TensorFlow Convolutional Neural Networks to improve your image classification models. This skill can be helpful for Artificial Intelligence Engineers, as image classification is a common task in many artificial intelligence applications.
For more career information including salaries, visit:
OpenCourser.com/course/wd6epp/classify
Reading list
We've selected nine 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
Classify Images with TensorFlow Convolutional Neural Networks.
Covers important concepts in deep learning, including convolutional neural networks, and is written by a leading expert in the field. It includes practical examples and exercises that can help you apply what you learn to your image classification projects.
Provides a comprehensive introduction to pattern recognition and machine learning, covering a wide range of topics, including supervised learning, unsupervised learning, and reinforcement learning. It great resource for anyone who wants to learn more about pattern recognition and machine learning.
Provides a comprehensive introduction to statistical learning, covering a wide range of topics, including linear regression, logistic regression, and support vector machines. It great resource for anyone who wants to learn more about statistical learning.
Save
Provides a comprehensive introduction to advanced deep learning concepts, such as attention mechanisms, transformers, and reinforcement learning. It great resource for anyone who wants to learn more about advanced deep learning.
Save
本书为深度学习与自然语言处理领域的深度学习与自然语言处理教材，内容全面，深入浅出地讲解了深度学习与自然语言处理的原理与实践，非常适合作为深度学习与自然语言处理领域的入门书籍。
Provides a comprehensive introduction to deep learning for computer vision. It covers a wide range of topics, including image classification, object detection, and image segmentation.
Provides a comprehensive introduction to deep learning using R, a statistical programming language. It covers the fundamentals of neural networks, convolutional neural networks, and recurrent neural networks.
Provides a practical guide to image generation using TensorFlow 2, a major update to the TensorFlow machine learning framework. It covers the basics of image generation, as well as more advanced topics such as generative adversarial networks and variational autoencoders.
Provides a practical guide to image classification using TensorFlow 2, a major update to the TensorFlow machine learning framework. It covers the basics of image classification, as well as more advanced topics such as transfer learning and fine-tuning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/wd6epp/classify
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Effort
75 minutes
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Meant for learners who want to learn and apply deep learning techniques to image classification
Provides a comprehensive overview of deep learning models for image classification
Offers hands-on experience through labs and interactive materials
Establishes a strong foundation for learners new to deep learning
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