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
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
- 5 stars60,90 %
- 4 stars24,21 %
- 3 stars9,17 %
- 2 stars2,85 %
- 1 star2,85 %
Principales reseñas sobre BUILDING DEEP LEARNING MODELS WITH TENSORFLOW
The detail of prsenetation is awsome and make learning interesting. Thank you Corseara, Thank you IBM
Was a really fun course, but the final assignments were very lengthy.
Simple and easy-to-follow course for a hard-core python package
course needed to be updated for labs. Now Google moved to Tensorflow 2.0 this year.
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