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Mastering computer vision problems with state-of-the-art deep learning architectures, MXNet, and GPU virtual machines /
A presentation from the Strata Data 2017 London conference.
| Clasificación: | Libro Electrónico |
|---|---|
| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
O'Reilly Media,
[2017]
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Gonzalez-Fierro, Miguel, |e on-screen presenter. | |
| 245 | 1 | 0 | |a Mastering computer vision problems with state-of-the-art deep learning architectures, MXNet, and GPU virtual machines / |c Miguel Gonzalez-Fierro. |
| 264 | 1 | |a [Place of publication not identified] : |b O'Reilly Media, |c [2017] | |
| 264 | 4 | |c ©2017 | |
| 300 | |a 1 online resource (1 streaming video file (38 min., 5 sec.)) | ||
| 336 | |a two-dimensional moving image |b tdi |2 rdacontent | ||
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| 337 | |a video |b v |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a data file | ||
| 380 | |a Videorecording | ||
| 511 | 0 | |a Presenter, Miguel Gonzalez-Fierro. | |
| 500 | |a Title from title screen (viewed July 12, 2018). | ||
| 520 | |a A presentation from the Strata Data 2017 London conference. | ||
| 520 | |a "Miguel González-Fierro explains how to train a state-of-the-art deep neural network, ResNet, using Microsoft RSever and MXNet with the ImageNet dataset. (While most of the deep learning libraries are programmed in C++ and Python, only MXNet offers an API for R programmers.) Miguel then demonstrates how to operationalize this training for real-world business problems related to image classification."--Resource description page. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 611 | 2 | 0 | |a Strata Data Conference |d (2017 : |c London, Great Britain) |
| 650 | 0 | |a Neural networks (Computer science) | |
| 650 | 0 | |a Big data. | |
| 650 | 0 | |a Ubiquitous computing. | |
| 650 | 0 | |a Data mining. | |
| 650 | 2 | |a Neural Networks, Computer | |
| 650 | 2 | |a Data Mining | |
| 650 | 6 | |a Réseaux neuronaux (Informatique) | |
| 650 | 6 | |a Données volumineuses. | |
| 650 | 6 | |a Informatique omniprésente. | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 7 | |a Big data. |2 fast |0 (OCoLC)fst01892965 | |
| 650 | 7 | |a Data mining. |2 fast |0 (OCoLC)fst00887946 | |
| 650 | 7 | |a Neural networks (Computer science) |2 fast |0 (OCoLC)fst01036260 | |
| 650 | 7 | |a Ubiquitous computing. |2 fast |0 (OCoLC)fst01160283 | |
| 655 | 4 | |a Electronic videos. | |
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| 856 | 4 | 0 | |u https://learning.oreilly.com/videos/~/9781492037316/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||