AI Capstone Project with Deep Learning
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
Courses : 7
Specification: AI Capstone Project with Deep Learning
6 reviews for AI Capstone Project with Deep Learning
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Course opened late. One instructor did not prepare his materials and the exercises were not even accessible. I will not be purchasing from Coursera in the future because of this specialization course. Truly a huge waste of money.
Reinaldo L N –
The docker environment by IBM is horrible. I just got to finish my course running all the notebooks locally (except for those at the Watson environment)
The data from the course is not well prepared, some invalid pictures in the data. And also sometimes the IBM platform can not run the training well, loss connection and need several hours of time for training the model…
Alexis b –
This is a good enough project if it is your first Pytorch implementation. However, the program is unevenly difficult, with very few information for week3 assignment, and almost copy/paste assignment for week4.
Carlos F C d S e S –
Thar H S –
Thank a lot for creating this course. It really useful and practical for me.