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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Syllabus - What you will learn from this course
Introduction
Supervised Learning Models
Supervised Learning Models (Cont'd)
Unsupervised Deep Learning Models
Reviews
- 5 stars61.34%
- 4 stars23.82%
- 3 stars9.12%
- 2 stars2.85%
- 1 star2.85%
TOP REVIEWS FROM BUILDING DEEP LEARNING MODELS WITH TENSORFLOW
Videos are good. Lab notebooks are a bit stale (still on tensorflow 2.2), so there are few wrinkles in getting them to work.
Excellent course to get started with tensorflow and deep learning.Really enjoyed the course.
Good content. A bit too fast on some complex concepts and missing audio for the last lecture but great lecturer.
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.
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