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
- 5 stars69.50%
- 4 stars19.14%
- 3 stars7.80%
- 2 stars1.65%
- 1 star1.89%
TOP REVIEWS FROM AI CAPSTONE PROJECT WITH DEEP LEARNING
I have completed this course but did not get the badge for it. Is there any way to access it?
Great course content! One thing that can be improved is the Skills Network portal. It's incredibly difficult to train any of the pre-trained models there.
The Keras part of the course is more attractive just because its final assignment is much better structured than that of PyTorch.
It is a great task but the tools delivered very complicated. It is sometimes better to use upfront your own tools.
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