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 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.
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TOP REVIEWS FROM AI CAPSTONE PROJECT WITH DEEP LEARNING
The capstone of the project was really good it helped me to understand the deep learning concepts clearly for providing the solution.
I like the flexibility to pick our framework for the project i wish the kers one were a little bit more challenging
A very nice project based course to get hands on experience with deep learning and transfer learning.
The Course is good, The labs were crashing which were causing lot of issues in completing the course
About the IBM AI Engineering Professional Certificate
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