How to Get Started with Deep Learning in Computer Vision
There have been big improvements in image analysis over the last few years thanks to the adoption of deep learning neural networks to solve vision problems, but figuring out how to get started with them isn't easy.In this webcast Pete Warden will walk through some popular open-source tools from...
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| Idioma: | Inglés |
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O'Reilly Media, Inc
2014.
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| Edición: | 1st edition |
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| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629822006719 |
| Sumario: | There have been big improvements in image analysis over the last few years thanks to the adoption of deep learning neural networks to solve vision problems, but figuring out how to get started with them isn't easy.In this webcast Pete Warden will walk through some popular open-source tools from the academic world, and show you step-by-step how to process images with them. Starting right from downloading the source and data, setting up the dependencies and environment, compiling, and then executing the libraries as part of a program, you'll be shown how to solve your own computer vision problems. |
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| Notas: | Title from title screen (viewed November 17, 2014). |
| Descripción Física: | 1 online resource (1 video file, approximately 41 min.) |
