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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来自BUILDING DEEP LEARNING MODELS WITH TENSORFLOW的热门评论
Very clear explanation and well organized course. I give 4 stars because videos of Week 5 are missing the audio and subtitles.
Good content. A bit too fast on some complex concepts and missing audio for the last lecture but great lecturer.
course needed to be updated for labs. Now Google moved to Tensorflow 2.0 this year.
It helped me to understand how TensorFlow can be used to build the neural networks
Week 5 lecture video no audio\n\nLab is not update for tensorflow 2
Teaches more on Deep Learning models but less in TensorFlow
Thank a lot for this course! It quick and really useful.
Very informative, could use some more room for practice.
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