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. Learning Outcomes: • determine what kind of deep learning method to use in which situation • know how to build a deep learning model to solve a real problem • master the process of creating a deep learning pipeline • apply knowledge of deep learning to improve models using real data • demonstrate ability to present and communicate outcomes of deep learning projects
This course is part of the IBM AI Engineering Professional Certificate
AI Capstone Project with Deep Learning
Offered By
Instructors
Alex Aklson
Ph.D., Data Scientist
Joseph Santarcangelo
Ph.D., Data Scientist at IBM
Romeo Kienzler
Chief Data Scientist, Course LeadAbout IBM
About the IBM AI Engineering Professional Certificate
Frequently Asked Questions
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