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Customizing state-of-the-art deep learning models for new computer vision solutions /
A presentation from the June 2017 O'Reilly Artificial Intelligence Conference in New York.
| Clasificación: | Libro Electrónico |
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| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
O'Reilly,
2017.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
| Sumario: | A presentation from the June 2017 O'Reilly Artificial Intelligence Conference in New York. "Dramatic progress has been made in computer vision: deep neural networks (DNNs) trained on tens of millions of images can now recognize thousands of different object types. These DNNs can also be easily customized to new use cases. Timothy Hazen shares simple methods and tools that enable you to adapt Microsoft's state-of-the-art DNNs for use in your own computer vision solutions."--Resource description page |
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| Notas: | Title from title screen (viewed July 16, 2018). |
| Descripción Física: | 1 online resource (1 streaming video file (37 min., 23 sec.)) |