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210123 ||| eng |
| 050 |
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4 |
|a Q325.5
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| 100 |
1 |
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|a Adams, Lucas
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| 245 |
0 |
0 |
|a Introduction to deep learning models with TensorFlow
|b learn how to work with TensorFlow to create and run a TensorFlow graph, and build a deep learning model
|c with Lucas Adams
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| 260 |
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|a [Place of publication not identified]
|b O'Reilly
|c 2017
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| 300 |
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|a 1 streaming video file (32 min., 26 sec.)
|b digital, sound, color
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| 653 |
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|a Machine learning / http://id.loc.gov/authorities/subjects/sh85079324
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| 653 |
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|a Artificial intelligence / http://id.loc.gov/authorities/subjects/sh85008180
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| 653 |
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|a Intelligence artificielle
|
| 653 |
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|a Apprentissage automatique
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| 653 |
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|a Artificial intelligence / fast / (OCoLC)fst00817247
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| 653 |
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|a artificial intelligence / aat
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| 653 |
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|a Machine learning / fast / (OCoLC)fst01004795
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b OREILLY
|a O'Reilly
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| 500 |
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|a Title from title screen (viewed May 5, 2017). - Date of publication from resource description page
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| 856 |
4 |
0 |
|u https://learning.oreilly.com/videos/~/9781491977873/?ar
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 000
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| 520 |
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|a "TensorFlow is by far the most popular deep learning software package available today. This training covers all of the essentials of TensorFlow; and provides you with hands-on experience building a deep learning model using the TensorFlow library. Every line of code written during the course is analyzed to help you understand what can be a complicated process. The lessons look at the key mathematical foundations of deep learning models, giving you insight into what makes these techniques work. Created for software engineers and budding data scientists, the course requires basic familiarity with Python programming; as well as statistics concepts such as linear and logistic regression, machine learning concepts like classification, and linear algebra. Jupyter Notebook is used to write and run code."--Resource description page
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