About this Course
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100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Some experience in Python programming is recommended.

Approx. 6 hours to complete

Suggested: 2 hours...

English

Subtitles: English

What you will learn

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    Create, train and evaluate a neural network in TensorFlow

  • Check

    Understand the basics of neural networks

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    Solve classification problems with neural networks

Skills you will gain

Deep LearningArtificial Neural NetworkMachine LearningTensorflowkeras

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Some experience in Python programming is recommended.

Approx. 6 hours to complete

Suggested: 2 hours...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
2 hours to complete

TensorFlow Beginner: Basic Image Classification

1 reading, 3 quizzes
1 reading
Project-Based Course Overview20m
2 practice exercises
Check Your Understanding15m
Basic Image Classification15m

Instructor

Avatar

Amit Yadav

Machine Learning Instructor
Machine Learning

About Rhyme

Rhyme is Coursera's hands-on project-based learning platform. On Rhyme, learners get instant access to pre-configured cloud desktops containing all the software and data they need. Rhyme helps learners apply the knowledge they learned in other Coursera courses into specific tools and use-cases. So they become fully prepared to solve problems in the real-world! ...

Frequently Asked Questions

  • Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

  • If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

  • Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.

  • If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

  • This course is one of a few offered on Coursera that are currently available only to learners who have paid or received financial aid, when available.

  • A project-based course enables you to practice applying a skill by providing you all the guidance, tools, and data you need to complete a project.

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