Avoiding the Pitfalls of Deep Learning: Solving Model Overfitting with Regularization and Dropout

Avoiding the Pitfalls of Deep Learning Solving Model Overfitting with Regularization and Dropout

Sponsored by Amazon. 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...

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Detalles Bibliográficos
Otros Autores: Graesser, Laura, author (author)
Formato: Video
Idioma:Inglés
Publicado: O'Reilly Media, Inc 2017.
Edición:1st edition
Materias:
Neural networks (Computer science)
Machine learning.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631317906719

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