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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- 5 stars69.24%
- 4 stars19.37%
- 3 stars7.74%
- 2 stars1.69%
- 1 star1.93%
AI CAPSTONE PROJECT WITH DEEP LEARNING からの人気レビュー
The Keras part of the course is more attractive just because its final assignment is much better structured than that of PyTorch.
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.
Thank a lot for creating this course. It really useful and practical for me.