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240604 ||| eng |
050 |
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|a Q325.73
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1 |
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|a Raff, Edward
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245 |
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|a Inside deep learning
|b math, algorithms, models
|c Edward Raff
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250 |
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|a [First edition]
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260 |
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|a [Shelter Island, New York]
|b Manning Publications
|c 2022
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300 |
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|a 1 sound file (15 hr., 36 min.)
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653 |
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|a Apprentissage profond
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653 |
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|a Python (Computer program language) / http://id.loc.gov/authorities/subjects/sh96008834
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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 Deep learning (Machine learning) / http://id.loc.gov/authorities/subjects/sh2021006947
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653 |
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|a Intelligence artificielle
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653 |
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|a artificial intelligence / aat
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653 |
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|a Python (Langage de programmation)
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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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856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9781617298639AU/?ar
|x Verlag
|3 Volltext
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082 |
0 |
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|a 006.3/1
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520 |
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|a Inside Deep Learning illuminates the inner workings of deep learning algorithms in a way that even machine learning novices can understand. You’ll explore deep learning concepts and tools through plain language explanations, annotated code, and dozens of instantly useful PyTorch examples. Each type of neural network is clearly presented without complex math, and every solution in this book can run using readily available GPU hardware!
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