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Introduction to computer vision with TensorFlow : using convolutional neural networks and TensorFlow to solve computer vision tasks /
"This course provides an introduction to using deep learning models to solve computer vision tasks in TensorFlow and is focused on the work horse of deep learning image models: the convolutional neural network. Expert Lucas Adams teaches you how to get these models up and running fast, especial...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| 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) |
MARC
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| 100 | 1 | |a Adams, Lucas, |e speaker. | |
| 245 | 1 | 0 | |a Introduction to computer vision with TensorFlow : |b using convolutional neural networks and TensorFlow to solve computer vision tasks / |c with Lucas Adams. |
| 264 | 1 | |a [Place of publication not identified] : |b O'Reilly, |c [2017] | |
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| 511 | 0 | |a Presenter, Lucas Adams. | |
| 500 | |a Title from title screen (viewed May 18, 2017). | ||
| 500 | |a Date of publication from resource description page. | ||
| 520 | |a "This course provides an introduction to using deep learning models to solve computer vision tasks in TensorFlow and is focused on the work horse of deep learning image models: the convolutional neural network. Expert Lucas Adams teaches you how to get these models up and running fast, especially in domains with limited computing resources or training data, and shows you how to modify the architecture of a neural network to make the model specialized to different tasks. Learners should be familiar with basic deep learning concepts like the multilayer perceptron, linear algebra, Jupyter notebooks, and the basics of building and running TensorFlow programs."--Resource description page. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Neural networks (Computer science) | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 2 | |a Neural Networks, Computer | |
| 650 | 2 | |a Artificial Intelligence | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 6 | |a Réseaux neuronaux (Informatique) | |
| 650 | 6 | |a Intelligence artificielle. | |
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