The majority of data in the world is unlabeled and unstructured. Shallow neural networks cannot easily capture relevant structure in, for instance, images, sound, and textual data. Deep networks are capable of discovering hidden structures within this type of data. In this course you’ll use TensorFlow library to apply deep learning to different data types in order to solve real world problems.
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- 5 stars61.24%
- 4 stars24.09%
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BUILDING DEEP LEARNING MODELS WITH TENSORFLOW의 최상위 리뷰
The detail of prsenetation is awsome and make learning interesting. Thank you Corseara, Thank you IBM
Videos are good. Lab notebooks are a bit stale (still on tensorflow 2.2), so there are few wrinkles in getting them to work.
The course concepts are not in-depth enough, and the server for Jupyter notebook running is way too slow...
The coding part was hard to understand. If that part could also be covered in videos as a tutorial.