In this capstone, learners will apply their deep learning knowledge and expertise to a real world challenge. They will use a library of their choice to develop and test a deep learning model. They will load and pre-process data for a real problem, build the model and validate it. Learners will then present a project report to demonstrate the validity of their model and their proficiency in the field of Deep Learning.
About this Course
IBM Skills Network
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
- 5 stars69.24%
- 4 stars19.37%
- 3 stars7.74%
- 2 stars1.69%
- 1 star1.93%
TOP REVIEWS FROM AI CAPSTONE PROJECT WITH DEEP LEARNING
I like the flexibility to pick our framework for the project i wish the kers one were a little bit more challenging
The Keras part of the course is more attractive just because its final assignment is much better structured than that of PyTorch.
Excellent work from the teachers, thanks for your efforts.
This course was easy to follow and understand. It gives you all the tools to complete it with ease
About the IBM AI Engineering Professional Certificate
Artificial intelligence (AI) is revolutionizing entire industries, changing the way companies across sectors leverage data to make decisions. To stay competitive, organizations need qualified AI engineers who use cutting-edge methods like machine learning algorithms and deep learning neural networks to provide data driven actionable intelligence for their businesses. This 6-course Professional Certificate is designed to equip you with the tools you need to succeed in your career as an AI or ML engineer.
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