Cargando…
Avoiding the pitfalls of deep learning : solving model overfitting with regularization and dropout /
"Understanding how to create a deep learning neural network is an essential component of any data scientist's knowledge base. This course covers some of the challenges that arise when training neural networks. It focuses on the problem of overfitting and its potential remedy: regularizatio...
| 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
| LEADER | 00000cgm a2200000 i 4500 | ||
|---|---|---|---|
| 001 | OR_on1014123534 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o c | ||
| 007 | cr cna|||||||| | ||
| 007 | vz czazuu | ||
| 008 | 171207s2017 xx 048 o vleng d | ||
| 040 | |a UMI |b eng |e rda |e pn |c UMI |d OCLCF |d TOH |d UAB |d OCLCQ |d OCLCO |d OCLCQ |d OCLCO | ||
| 029 | 1 | |a AU@ |b 000067115534 | |
| 035 | |a (OCoLC)1014123534 | ||
| 037 | |a CL0500000919 |b Safari Books Online | ||
| 050 | 4 | |a QA76.87 | |
| 049 | |a UAMI | ||
| 100 | 1 | |a Graesser, Laura, |e on-screen presenter. | |
| 245 | 1 | 0 | |a Avoiding the pitfalls of deep learning : |b solving model overfitting with regularization and dropout / |c with Laura Graesser. |
| 264 | 1 | |a [Place of publication not identified] : |b O'Reilly Media, |c [2017] | |
| 300 | |a 1 online resource (1 streaming video file (47 min., 16 sec.)) | ||
| 336 | |a two-dimensional moving image |b tdi |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 337 | |a video |b v |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 500 | |a Title from title screen (Safari, viewed December 6, 2017). | ||
| 500 | |a Release information from resource description page (Safari, viewed December 6, 2017). | ||
| 511 | 0 | |a Presenter, Laura Graesser. | |
| 520 | |a "Understanding how to create a deep learning neural network is an essential component of any data scientist's knowledge base. This course covers some of the challenges that arise when training neural networks. It focuses on the problem of overfitting and its potential remedy: regularization."--Resource description page | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Neural networks (Computer science) | |
| 650 | 0 | |a Machine learning. | |
| 650 | 6 | |a Réseaux neuronaux (Informatique) | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 7 | |a Machine learning |2 fast | |
| 650 | 7 | |a Neural networks (Computer science) |2 fast | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/videos/~/9781491999622/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||