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* Title..: Pluralsight Implementing Image Recognition Systems with TensorFlow
* Date...: 05-02-2019
* Type...: Bookware
* Disks..: 19x50mb
Release notes:
Running images through deep learning models is potentially
the most typical scenario in which deep learning is
used
today. In this course, Implementing Image Recognition
Systems with TensorFlow, you will learn the basics of how to
implement a solution for the most typical deep learning
imaging scenarios. First, you will learn how to pick a
TensorFlow model architecture if you can implement your
solution with pre-existing, pre-trained models. Next, you
will learn how to extend such models using your own training
images by taking advantage of transfer learning. Finally,
you will see how to use more advanced solutions to do more
advanced processing on images, like segmentation, and even
learn how to implement a facial recognition solution. When
you are finished with this course, you will have the skills
and knowledge of TensorFlow and imaging in order to
implement your own solutions successfully.
More info:
https://www.pluralsight.com
Install notes:
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