| Description |
1 online resource (1 streaming video file (1 hr., 12 min., 34 sec.)) : digital, sound, color |
| Summary |
"This course builds on the training in Marvin Bertin's 'Introduction to TensorFlow-Slim', which covered the basic concepts and uses of the TensorFlow-Slim (TF-Slim) API. In a series of lessons designed for learners with basic machine learning knowledge and some previous TensorFlow experience, you'll explore many of TF-Slim's most advanced features; using them to build and train sophisticated deep learning models. As you work through the examples, you'll come to appreciate TF-Slim's primary benefit: its ability to enable the work of machine learning while avoiding code complexity, a significant problem in the world of increasingly deep neural networks."--Resource description page |
| Notes |
Title from title screen (viewed April 21, 2017) |
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Date of publication from resource description page |
| Performer |
Presenter, Marvin Bertin |
| Subject |
Machine learning.
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Artificial intelligence.
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artificial intelligence.
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Artificial intelligence.
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Machine learning.
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| Form |
Streaming video
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