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.
Acerca de este Curso
- 5 stars61,31 %
- 4 stars23,92 %
- 3 stars9,02 %
- 2 stars2,86 %
- 1 star2,86 %
Principales reseñas sobre BUILDING DEEP LEARNING MODELS WITH TENSORFLOW
This course is the best out of all courses in the specialization, the pace of the speaker was perfect.
Not so often i wish a course would be longer and more in depth I really enjoyed using TF I'll look some other courses about it
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...
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