About this Course

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Some experience in Python programming. Basic understanding of neural networks.

Approx. 4 hours to complete

Suggested: 2 hours...

English

Subtitles: English

What you will learn

  • Check

    Create, train, and evaluate a recurrent neural network (RNN) in Keras.

  • Check

    Train a sequence to sequence RNN model to be able to solve simple addition equations given in string format.

Skills you will gain

Data ScienceMachine LearningTensorflowsequence modelsRecurrent Neural Network

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Some experience in Python programming. Basic understanding of neural networks.

Approx. 4 hours to complete

Suggested: 2 hours...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1

Week 1

2 hours to complete

Simple Recurrent Neural Network with Keras

2 hours to complete
2 readings
2 readings
Project-based Course Overview15m
Congratulations10m
2 practice exercises
Check Your Understanding10m
Simple Recurrent Neural Network10m

Instructor

Image of instructor, Amit Yadav

Amit Yadav 

Machine Learning Instructor
Machine Learning
291 Learners
6 Courses

Offered by

Rhyme logo

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.

  • 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.

More questions? Visit the Learner Help Center.