Deep learning Recurrent neural networks with TensorFlow Recurrent neural networks with TensorFlow.
Recurrent Neural Networks are a type of deep learning architecture designed to process sequential data, such as time series, text, speech, and video. RNNs have a memory mechanism, which allows them to preserve information from past inputs and use it to inform their predictions. TensorFlow 2 is a pop...
| Autores Corporativos: | , |
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| Formato: | Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
Packt Publishing
[2023]
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009729430106719 |
