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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Habilidades en redes de IBM
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- 5 stars61,27 %
- 4 stars23,88 %
- 3 stars9,19 %
- 2 stars2,81 %
- 1 star2,81 %
Principales reseñas sobre BUILDING DEEP LEARNING MODELS WITH TENSORFLOW
It would have been nice if the video tutorials would explain the code section as well, and if there would have been some in-depth teaching of the code part. But this course did benefit.
This course is the best out of all courses in the specialization, the pace of the speaker was perfect.
It is very good to explain concept of Deep Learning by Example , it is so clear, and better understand
Was a really fun course, but the final assignments were very lengthy.
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