About this Course
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Course 3 of 6 in the

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Flexible deadlines

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Intermediate Level

Approx. 10 hours to complete

Suggested: 2 - 3 hours/week...

English

Subtitles: English

Skills you will gain

Deep LearningArtificial Neural NetworkArtificial Intelligence (AI)Machine Learningkeras

Course 3 of 6 in the

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 10 hours to complete

Suggested: 2 - 3 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
2 hours to complete

Introduction to Neural Networks and Deep Learning

4 videos (Total 17 min), 1 reading, 2 quizzes
4 videos
Introduction to Deep Learning4m
Neurons and Neural Networks3m
Artificial Neural Networks5m
1 reading
Syllabus10m
1 practice exercise
Introduction to Neural Networks and Deep Learning30m
Week
2
1 hour to complete

Artificial Neural Networks

4 videos (Total 22 min), 1 quiz
4 videos
Backpropagation9m
Vanishing Gradient1m
Activation Functions5m
1 practice exercise
Artificial Neural Networks30m
Week
3
3 hours to complete

Keras and Deep Learning Libraries

3 videos (Total 16 min), 3 quizzes
3 videos
Regression Models with Keras6m
Classification Models with Keras5m
1 practice exercise
Keras and Deep Learning Libraries30m
Week
4
2 hours to complete

Deep Learning Models

4 videos (Total 17 min), 2 quizzes
4 videos
Convolutional Neural Networks8m
Recurrent Neural Networks2m
Autoencoders2m
1 practice exercise
Deep Learning Models30m
4.6
17 ReviewsChevron Right

Top reviews from Introduction to Deep Learning & Neural Networks with Keras

By LDSep 8th 2019

The teaching is not deep enough to solve the Week 5 assignment, please take note you need to plumb in other Keras courses.

By GKOct 3rd 2019

Very intractive and benificial course for me .Thank you coursera and IBM for this course

Instructor

Avatar

Alex Aklson

Ph.D., Data Scientist
IBM Developer Skills Network

About IBM

IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame....

About the IBM AI Engineering Professional Certificate

The rapid pace of innovation in Artificial Intelligence (AI) is creating enormous opportunity for transforming entire industries and our very existence. After competing this comprehensive 6 course Professional Certificate, you will get a practical understanding of Machine Learning and Deep Learning. You will master fundamental concepts of Machine Learning and Deep Learning, including supervised and unsupervised learning. You will utilize popular Machine Learning and Deep Learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow applied to industry problems involving object recognition and Computer Vision, image and video processing, text analytics, Natural Language Processing, recommender systems, and other types of classifiers. You will be able to scale Machine Learning on Big Data using Apache Spark. You will build, train, and deploy different types of Deep Architectures, including Convolutional Networks, Recurrent Networks, and Autoencoders. By the end of this Professional Certificate, you will have completed several projects showcasing your proficiency in Machine Learning and Deep Learning, and become armed with skills for a career as an AI Engineer....
IBM AI Engineering

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.