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In this course, we will take a look at different strategies for building an image classifier using convolutional neural networks. We'll improve the model's accuracy with augmentation, feature extraction, and fine-tuning hyperparameters while trying to avoid overfitting our data. We will also look at practical issues that arise, for example, when you don’t have enough data and how to incorporate the latest research findings into our models. You will get hands-on practice building and optimizing your own image classification models on a variety of public datasets in the labs we’ll work on together.
Read more
In this course, we will take a look at different strategies for building an image classifier using convolutional neural networks. We'll improve the model's accuracy with augmentation, feature extraction, and fine-tuning hyperparameters while trying to avoid overfitting our data. We will also look at practical issues that arise, for example, when you don’t have enough data and how to incorporate the latest research findings into our models. You will get hands-on practice building and optimizing your own image classification models on a variety of public datasets in the labs we’ll work on together.
Read more
In this course, we will take a look at different strategies for building an image classifier using convolutional neural networks. We'll improve the model's accuracy with augmentation, feature extraction, and fine-tuning hyperparameters while trying to avoid overfitting our data. We will also look at practical issues that arise, for example, when you don’t have enough data and how to incorporate the latest research findings into our models. You will get hands-on practice building and optimizing your own image classification models on a variety of public datasets in the labs we’ll work on together.
In this course, we will take a look at different strategies for building an image classifier using convolutional neural networks. We'll improve the model's accuracy with augmentation, feature extraction, and fine-tuning hyperparameters while trying to avoid overfitting our data. We will also look at practical issues that arise, for example, when you don’t have enough data and how to incorporate the latest research findings into our models. You will get hands-on practice building and optimizing your own image classification models on a variety of public datasets in the labs we’ll work on together.
Register for this course and see more details by visiting:
OpenCourser.com/course/ta4682/image
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What's inside
Syllabus
Welcome to Image Understanding with TensorFlow on GCP
Linear and DNN Models
Convolutional Neural Networks (CNNs)
Dealing with Data Scarcity
Read more
Syllabus
Welcome to Image Understanding with TensorFlow on GCP
Linear and DNN Models
Convolutional Neural Networks (CNNs)
Dealing with Data Scarcity
Read more
Going Deeper Faster
Pre-built ML Models for Image Classification
Summary
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops computer vision and applied AI in practice, which are highly relevant to industry
Taught by Google Cloud, who are recognized for their work in the technology industry
Uses hands-on labs and interactive materials, which strengthens an existing foundation for learners
Builds a strong foundation for beginners who are aiming to progress later on
May require prerequisite knowledge, making it less useful for complete beginners
Teaches TensorFlow, which is currently on version 2.9 and may miss the latest developments
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Save Image Understanding with TensorFlow on GCP 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 Image Understanding with TensorFlow on GCP with these
activities:
Review Neural Networks
Show steps
Improve your current level of competency in Neural Networks to establish a strong foundation for this course.
Browse courses on
Neural Networks
Show steps
-
Reread your lecture notes on Neural Networks from previous courses.
-
Review online tutorials on Neural Networks.
-
Practice implementing Neural Networks in a programming language such as Python.
Explore TensorFlow Tutorials
Show steps
Familiarize yourself with TensorFlow by following guided tutorials, enabling you to comprehend the toolset used in this course.
Browse courses on
TensorFlow
Show steps
-
Go through the official TensorFlow tutorials.
-
Find additional TensorFlow tutorials online, focusing on image classification tasks.
-
Experiment with the TensorFlow library by building simple image classification models.
Image Classification Practice
Show steps
Reinforce your understanding of image classification techniques by completing practice drills, enhancing your ability to apply them effectively.
Browse courses on
Image Classification
Show steps
-
Solve coding challenges involving image classification using Convolutional Neural Networks.
-
Participate in online competitions or hackathons focused on image classification tasks.
-
Build personal projects that utilize image classification models for practical applications.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Deep Learning with Python
Show steps
Expand your theoretical understanding of Deep Learning concepts by reading a comprehensive book on the subject, complementing the material taught in this course and providing a deeper foundation for your knowledge.
View
Deep Learning with Python, Second Edition
on Amazon
Show steps
-
Read selected chapters or sections of the book that align with the topics covered in this course.
-
Take notes and summarize key concepts to enhance your understanding.
-
Complete exercises or practice problems included in the book to reinforce your learning.
Attend an Image Classification Workshop
Show steps
Immerse yourself in a hands-on learning environment by attending an image classification workshop, providing you with practical experience and insights from industry experts.
Browse courses on
Image Classification
Show steps
-
Research and identify reputable image classification workshops that align with your learning goals.
-
Register for a workshop that fits your schedule and interests.
-
Actively participate in the workshop, taking notes and engaging in discussions.
-
Apply the knowledge and skills gained from the workshop to your personal projects or professional work.
Contribute to Open Source Projects
Show steps
Enhance your practical skills and learn from others by contributing to open-source projects related to image classification, allowing you to apply your knowledge in a collaborative environment.
Browse courses on
Open Source
Show steps
-
Identify open-source projects on platforms like GitHub that focus on image classification.
-
Review the project documentation and codebase to understand the project's goals and technical implementation.
-
Make meaningful contributions to the project, such as bug fixes, feature enhancements, or documentation improvements.
Develop a Comprehensive Report on Image Classification
Show steps
Integrate and showcase your knowledge by creating a comprehensive report on image classification, allowing you to synthesize your understanding and communicate your findings effectively.
Browse courses on
Image Classification
Show steps
-
Conduct research on various image classification techniques, algorithms, and applications.
-
Analyze and compare different approaches, discussing their strengths, weaknesses, and suitability for various scenarios.
-
Provide practical examples and case studies to illustrate the real-world impact of image classification.
-
Present your findings in a well-organized and visually appealing report.
Review Neural Networks
Show steps
Improve your current level of competency in Neural Networks to establish a strong foundation for this course.
Browse courses on
Neural Networks
Show steps
Show steps
Show steps
- Reread your lecture notes on Neural Networks from previous courses.
- Review online tutorials on Neural Networks.
- Practice implementing Neural Networks in a programming language such as Python.
Explore TensorFlow Tutorials
Show steps
Familiarize yourself with TensorFlow by following guided tutorials, enabling you to comprehend the toolset used in this course.
Browse courses on
TensorFlow
Show steps
Show steps
Show steps
- Go through the official TensorFlow tutorials.
- Find additional TensorFlow tutorials online, focusing on image classification tasks.
- Experiment with the TensorFlow library by building simple image classification models.
Image Classification Practice
Show steps
Reinforce your understanding of image classification techniques by completing practice drills, enhancing your ability to apply them effectively.
Browse courses on
Image Classification
Show steps
Show steps
Show steps
- Solve coding challenges involving image classification using Convolutional Neural Networks.
- Participate in online competitions or hackathons focused on image classification tasks.
- Build personal projects that utilize image classification models for practical applications.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Deep Learning with Python
Show steps
Expand your theoretical understanding of Deep Learning concepts by reading a comprehensive book on the subject, complementing the material taught in this course and providing a deeper foundation for your knowledge.
View
Deep Learning with Python, Second Edition
on Amazon
Show steps
Show steps
Show steps
- Read selected chapters or sections of the book that align with the topics covered in this course.
- Take notes and summarize key concepts to enhance your understanding.
- Complete exercises or practice problems included in the book to reinforce your learning.
Attend an Image Classification Workshop
Show steps
Immerse yourself in a hands-on learning environment by attending an image classification workshop, providing you with practical experience and insights from industry experts.
Browse courses on
Image Classification
Show steps
Show steps
Show steps
- Research and identify reputable image classification workshops that align with your learning goals.
- Register for a workshop that fits your schedule and interests.
- Actively participate in the workshop, taking notes and engaging in discussions.
- Apply the knowledge and skills gained from the workshop to your personal projects or professional work.
Contribute to Open Source Projects
Show steps
Enhance your practical skills and learn from others by contributing to open-source projects related to image classification, allowing you to apply your knowledge in a collaborative environment.
Browse courses on
Open Source
Show steps
Show steps
Show steps
- Identify open-source projects on platforms like GitHub that focus on image classification.
- Review the project documentation and codebase to understand the project's goals and technical implementation.
- Make meaningful contributions to the project, such as bug fixes, feature enhancements, or documentation improvements.
Develop a Comprehensive Report on Image Classification
Show steps
Integrate and showcase your knowledge by creating a comprehensive report on image classification, allowing you to synthesize your understanding and communicate your findings effectively.
Browse courses on
Image Classification
Show steps
Show steps
Show steps
- Conduct research on various image classification techniques, algorithms, and applications.
- Analyze and compare different approaches, discussing their strengths, weaknesses, and suitability for various scenarios.
- Provide practical examples and case studies to illustrate the real-world impact of image classification.
- Present your findings in a well-organized and visually appealing report.
Career center
Learners who complete Image Understanding with TensorFlow on GCP will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists are responsible for collecting, analyzing, and interpreting data to help businesses make informed decisions. This course will give you the skills you need to build image classification models, which can be used to automate tasks such as object detection, facial recognition, and medical diagnosis. These skills are in high demand in a variety of industries, including healthcare, finance, and retail. And with the increasing amount of data being generated, the need for Data Scientists is only going to grow.
Computer Vision Engineer
Computer Vision Engineer
Computer Vision Engineers are responsible for developing and deploying computer vision systems. This course will give you the skills you need to build and optimize image classification models, which are a key component of many computer vision systems. These skills are in high demand in a variety of industries, including healthcare, manufacturing, and transportation. And with the increasing amount of data being generated, the need for Computer Vision Engineers is only going to grow.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers are responsible for developing and deploying machine learning models. This course will give you the skills you need to build and optimize image classification models, which can be used for a variety of tasks. These skills are in high demand in a variety of industries, including healthcare, finance, and retail. And with the increasing amount of data being generated, the need for Machine Learning Engineers is only going to grow.
Software Engineer
Software Engineer
Software Engineers are responsible for designing, developing, and maintaining software applications. This course will give you the skills you need to build and optimize image classification models, which can be used to add image processing capabilities to software applications. These skills are in high demand in a variety of industries, including healthcare, finance, and retail. And with the increasing amount of data being generated, the need for Software Engineers with image processing skills is only going to grow.
Business Analyst
Business Analyst
Business Analysts are responsible for understanding the business needs of an organization and translating those needs into technical requirements. This course will give you the skills you need to build and optimize image classification models, which can be used to solve a variety of business problems. These skills are in high demand in a variety of industries, including healthcare, finance, and retail. And with the increasing amount of data being generated, the need for Business Analysts with image processing skills is only going to grow.
Data Analyst
Data Analyst
Data Analysts are responsible for collecting, analyzing, and interpreting data to help businesses make informed decisions. This course will give you the skills you need to build and optimize image classification models, which can be used to automate tasks such as object detection and facial recognition. These skills are in high demand in a variety of industries, including healthcare, finance, and retail. And with the increasing amount of data being generated, the need for Data Analysts with image processing skills is only going to grow.
Product Manager
Product Manager
Product Managers are responsible for defining the vision and roadmap for a product. This course will give you the skills you need to build and optimize image classification models, which can be used to add image processing capabilities to products. These skills are in high demand in a variety of industries, including healthcare, finance, and retail. And with the increasing amount of data being generated, the need for Product Managers with image processing skills is only going to grow.
Project Manager
Project Manager
Project Managers are responsible for planning, executing, and closing projects. This course will give you the skills you need to build and optimize image classification models, which can be used to automate tasks and improve project outcomes. These skills are in high demand in a variety of industries, including healthcare, finance, and retail. And with the increasing amount of data being generated, the need for Project Managers with image processing skills is only going to grow.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts are responsible for testing software applications to ensure that they meet the required standards. This course will give you the skills you need to build and optimize image classification models, which can be used to automate testing tasks. These skills are in high demand in a variety of industries, including healthcare, finance, and retail. And with the increasing amount of data being generated, the need for Quality Assurance Analysts with image processing skills is only going to grow.
Database Administrator
Database Administrator
Database Administrators are responsible for managing and maintaining databases. This course will give you the skills you need to build and optimize image classification models, which can be used to process and analyze data stored in databases. These skills are in high demand in a variety of industries, including healthcare, finance, and retail. And with the increasing amount of data being generated, the need for Database Administrators with image processing skills is only going to grow.
Data Engineer
Data Engineer
Data Engineers are responsible for designing and building the infrastructure that supports data analytics. This course will give you the skills you need to build and optimize image classification models, which can be used to process and analyze large amounts of data. These skills are in high demand in a variety of industries, including healthcare, finance, and retail. And with the increasing amount of data being generated, the need for Data Engineers with image processing skills is only going to grow.
Systems Analyst
Systems Analyst
Systems Analysts are responsible for analyzing and designing computer systems. This course will give you the skills you need to build and optimize image classification models, which can be used to improve the performance of computer systems. These skills are in high demand in a variety of industries, including healthcare, finance, and retail. And with the increasing amount of data being generated, the need for Systems Analysts with image processing skills is only going to grow.
Information Security Analyst
Information Security Analyst
Information Security Analysts are responsible for protecting computer systems and networks from security threats. This course will give you the skills you need to build and optimize image classification models, which can be used to detect and mitigate security threats. These skills are in high demand in a variety of industries, including healthcare, finance, and retail. And with the increasing amount of data being generated, the need for Information Security Analysts with image processing skills is only going to grow.
Network Administrator
Network Administrator
Network Administrators are responsible for managing and maintaining computer networks. This course will give you the skills you need to build and optimize image classification models, which can be used to monitor and manage network traffic. These skills are in high demand in a variety of industries, including healthcare, finance, and retail. And with the increasing amount of data being generated, the need for Network Administrators with image processing skills is only going to grow.
Computer Support Specialist
Computer Support Specialist
Computer Support Specialists are responsible for providing technical support to computer users. This course will give you the skills you need to build and optimize image classification models, which can be used to automate troubleshooting tasks. These skills are in high demand in a variety of industries, including healthcare, finance, and retail. And with the increasing amount of data being generated, the need for Computer Support Specialists with image processing skills is only going to grow.
For more career information including salaries, visit:
OpenCourser.com/course/ta4682/image
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
Image Understanding with TensorFlow on GCP.
Save
Comprehensive textbook on computer vision. It covers the theoretical foundations of computer vision, as well as practical implementation details.
Practical guide to building deep learning models using Python. It covers the basics of deep learning, as well as more advanced topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks.
Practical guide to building deep learning models using Fastai and PyTorch. It covers the basics of deep learning, as well as more advanced topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks.
Guide to building advanced deep learning models using Keras. It covers topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks.
Practical guide to building deep learning models using R. It covers the basics of deep learning, as well as more advanced topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks.
Concise introduction to machine learning. It covers the basics of machine learning, as well as more advanced topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ta4682/image
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Time
260 hours
Level
Advanced
Via
Pluralsight
Instructor
Google Cloud
Language
English
This course belongs to a
collection
called
Advanced Machine Learning on Google Cloud. It's comprised of five courses:
- End-to-End Machine Learning with TensorFlow on Google Cloud
- Production Machine Learning Systems
- Image Understanding with TensorFlow on GCP (viewing)
- Sequence Models for Time Series and Natural Language Processing on Google Cloud
- Recommendation Systems with TensorFlow on GCP
Good to know
Develops computer vision and applied AI in practice, which are highly relevant to industry
Taught by Google Cloud, who are recognized for their work in the technology industry
Uses hands-on labs and interactive materials, which strengthens an existing foundation for learners
Builds a strong foundation for beginners who are aiming to progress later on
May require prerequisite knowledge, making it less useful for complete beginners
Teaches TensorFlow, which is currently on version 2.9 and may miss the latest developments
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