About this Course

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Python programming experience and a basic understanding of neural networks is recommended.

Approx. 4 hours to complete

Suggested: 1.5 hours...

English

Subtitles: English

What you will learn

  • Create custom callback functions in Keras.

  • Use custom callback functions in Keras.

Skills you will gain

Data ScienceDeep LearningMachine LearningTensorflowkeras

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Python programming experience and a basic understanding of neural networks is recommended.

Approx. 4 hours to complete

Suggested: 1.5 hours...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1

Week 1

2 hours to complete

Creating Custom Callbacks in Keras

2 hours to complete
1 reading
1 reading
Project-based Course Overview10m
1 practice exercise
Graded Quiz: Test Your Project Understanding20m

Offered by

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Rhyme

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.

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