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.
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About this Course
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Advanced Level
Approx. 16 hours to complete
English
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Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Advanced Level
Approx. 16 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
3 hours to complete
Module 1 - Loading Data
3 hours to complete
4 videos (Total 8 min)
3 hours to complete
Module 2
3 hours to complete
1 video (Total 2 min)
3 hours to complete
Module 3
3 hours to complete
1 video (Total 2 min)
7 hours to complete
Module 4
7 hours to complete
1 video (Total 3 min), 2 readings, 2 quizzes
Reviews
- 5 stars69.35%
- 4 stars19.12%
- 3 stars7.83%
- 2 stars1.84%
- 1 star1.84%
TOP REVIEWS FROM AI CAPSTONE PROJECT WITH DEEP LEARNING
by RVDec 2, 2020
I have completed this course but did not get the badge for it. Is there any way to access it?
by PPApr 2, 2022
Nice idea, however it could be a little bit more elaborate.
by NMSep 1, 2020
Very good example to learn resnet pretrained models
by DOMay 26, 2020
I like the flexibility to pick our framework for the project i wish the kers one were a little bit more challenging
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