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Getting Started with Tensorflow.js
Charles Ivan Niswander II
Charles Ivan Niswander II
By the end of this project, you will learn how to code a smart webcam to detect people and other everyday objects using a pre-trained COCO-SSD image recognition model with Tensorflow.js.
Based on an older library called deeplearn.js, Tensorflow.js is a deep...
Read more
By the end of this project, you will learn how to code a smart webcam to detect people and other everyday objects using a pre-trained COCO-SSD image recognition model with Tensorflow.js.
Based on an older library called deeplearn.js, Tensorflow.js is a deep...
Read more
By the end of this project, you will learn how to code a smart webcam to detect people and other everyday objects using a pre-trained COCO-SSD image recognition model with Tensorflow.js.
Based on an older library called deeplearn.js, Tensorflow.js is a deep learning library that leverages Tensorflow to create, train and run inference on artificial neural network models directly in a web browser, utilizing the client's GPU/CPU resources (accelerated using WebGL). Tensorflow.js brings Tensorflow to the web!
JavaScript/Typescript experience is heavily recommended.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Register for this course and see more details by visiting:
OpenCourser.com/course/ob5kyx/getting
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops usable skills in image recognition models, TensorFlow.js, and Web browser coding for models
Emphasizes practical application of image recognition technology in web development
Introduces students to a well-established deep learning library with a focus on TensorFlow.js
Requires JavaScript/TypeScript experience and recommends learners in the North America region, which may limit accessibility
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Reviews summary
Tensorflow.js course
TensorFlow.js course receives mixed reviews. One reviewer found the course to be thorough and informative, while two others found the content lacking and not worth the price.
Thorough course
"Thorough and informative"
Very basic
"The content was very lacking...Very basic."
Not worth the price
"Not recommended.$9.99 is way more expensive for a session which is uninformative"
Activities
Coming soon
We're preparing activities for
Getting Started with Tensorflow.js.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Getting Started with Tensorflow.js will develop knowledge and skills
that may be useful to these careers:
Computer Vision Engineer
Computer Vision Engineer
Computer Vision Engineers develop and implement computer vision systems. These systems allow computers to see and interpret the world around them. Computer Vision Engineers work in a variety of industries, including robotics, autonomous vehicles, and healthcare. This course may be particularly useful for those pursuing a career as a Computer Vision Engineer as it provides hands-on experience with TensorFlow.js, a library that is commonly used for computer vision tasks.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and maintain machine learning models. They work in a variety of industries, including finance, healthcare, and manufacturing. This course may be useful for aspiring Machine Learning Engineers as it provides a foundation in machine learning, a field that is essential for this role.
Artificial Intelligence Engineer
Artificial Intelligence Engineer
Artificial Intelligence Engineers design and develop artificial intelligence systems. These systems can perform a variety of tasks, such as recognizing speech, translating languages, and playing games. This course may be useful for those pursuing a career as an Artificial Intelligence Engineer as it provides a foundation in machine learning, a field that is essential for this role.
Web Developer
Web Developer
Web Developers design, develop, and maintain websites. They work in a variety of industries, including finance, healthcare, and e-commerce. This course may be useful for those pursuing a career as a Web Developer as it provides a foundation in JavaScript, a language that is essential for web development.
Robotics Engineer
Robotics Engineer
Robotics Engineers design, build, and maintain robots. They work in a variety of industries, including manufacturing, healthcare, and defense. This course may be useful for aspiring Robotics Engineers as it provides a foundation in machine learning, a field that is becoming increasingly important in robotics.
Full-Stack Developer
Full-Stack Developer
Full Stack Developers have a broad range of responsibilities, working on both the front-end and back-end of websites and web applications. They typically have expertise in a variety of programming languages and technologies. This course may be useful for aspiring Full Stack Developers as it provides a foundation in JavaScript, a language that is commonly used for both front-end and back-end development.
Data Scientist
Data Scientist
Data Scientists use their knowledge of statistics, mathematics, and programming to extract insights from data. They work in a variety of industries, including finance, healthcare, and e-commerce. This course may be useful for those pursuing a career as a Data Scientist as it provides a foundation in machine learning, a field that is becoming increasingly important in data science.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They work in a variety of industries, including finance, healthcare, and e-commerce. This course may be useful for those pursuing a career as a Software Engineer as it provides a foundation in JavaScript, a language that is commonly used for web and mobile development.
Data Analyst
Data Analyst
Data Analysts use their knowledge of statistics, mathematics, and programming to analyze data and extract insights. They work in a variety of industries, including finance, healthcare, and e-commerce. This course may be useful for aspiring Data Analysts as it provides a foundation in machine learning, a field that is becoming increasingly important in data analysis.
Front-End Developer
Front-End Developer
Front-end Developers are primarily responsible for the visual layout of a website or web application. They use their knowledge of programming languages such as HTML, CSS, and JavaScript to bring a designer's vision to life. This course may be useful for those seeking to become Front-end Developers as it offers hands-on experience with JavaScript, a language that is essential for creating interactive and dynamic web pages.
User Experience Designer
User Experience Designer
User Experience Designers design and evaluate the user experience of websites and web applications. They work closely with developers to ensure that websites and web applications are easy to use and enjoyable to interact with. This course may be useful for those pursuing a career as a User Experience Designer as it provides a foundation in JavaScript, a language that is commonly used for web development.
Operations Manager
Operations Manager
Operations Managers are responsible for the day-to-day operations of a business. They oversee a variety of functions, such as production, inventory, and customer service. This course may be useful for aspiring Operations Managers as it provides a foundation in machine learning, which can be used to improve operational efficiency.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. They work closely with engineers, designers, and marketers to ensure that products meet the needs of users. This course, though not directly related to the field of product management, provides a foundation in machine learning, which may be helpful for Product Managers who are interested in developing data-driven products.
Marketing Manager
Marketing Manager
Marketing Managers are responsible for the development and execution of marketing campaigns. They work closely with creative teams, sales teams, and public relations teams to ensure that marketing campaigns are effective. This course may be useful for aspiring Marketing Managers as it provides a foundation in machine learning, which is becoming increasingly important in marketing.
Sales Manager
Sales Manager
Sales Managers are responsible for leading and motivating sales teams. They set sales targets, develop sales strategies, and close deals. This course may be useful for aspiring Sales Managers as it provides a foundation in machine learning, which can be used to improve sales forecasting and customer segmentation.
For more career information including salaries, visit:
OpenCourser.com/course/ob5kyx/getting
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
Getting Started with Tensorflow.js.
Provides a practical guide to using TensorFlow.js for machine learning. It covers the basics of TensorFlow.js and how to use it to build and train machine learning models in a web browser. It valuable resource for beginners who want to learn more about TensorFlow.js and its applications.
Provides a comprehensive introduction to deep learning with Python. It covers the basics of deep learning, including how to build and train deep learning models. The book also includes several case studies that show how to use deep learning to build real-world applications.
Provides a comprehensive introduction to deep learning with R. It covers the basics of deep learning, including how to build and train deep learning models. The book also includes several case studies that show how to use deep learning to build real-world applications.
Provides a comprehensive introduction to machine learning with Python. It covers the basics of machine learning, including how to build and train machine learning models. The book also includes several case studies that show how to use machine learning to build real-world applications.
Provides a comprehensive introduction to deep learning with PyTorch. It covers the basics of deep learning, including how to build and train deep learning models. The book also includes several case studies that show how to use deep learning to build real-world applications.
Provides a comprehensive introduction to machine learning with C++. It covers the basics of machine learning, including how to build and train machine learning models. The book also includes several case studies that show how to use machine learning to build real-world applications.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ob5kyx/getting
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Time
2 hours
Via
Coursera
Institution
Coursera Project Network
Instructor
Charles Ivan Niswander II
Good to know
Develops usable skills in image recognition models, TensorFlow.js, and Web browser coding for models
Emphasizes practical application of image recognition technology in web development
Introduces students to a well-established deep learning library with a focus on TensorFlow.js
Requires JavaScript/TypeScript experience and recommends learners in the North America region, which may limit accessibility
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