Probabilistic deep learning : with Python, Keras, and TensorFlow Probability /
Probabilistic Deep Learning is a hands-on guide to the principles that support neural networks. Learn to improve network performance with the right distribution for different data types, and discover Bayesian variants that can state their own uncertainty to increase accuracy. This book provides easy...
Autores principales: | Dürr, Oliver (College teacher) (Autor), Sick, Beate (Autor), Murina, Elvis (Autor) |
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Formato: | eBook |
Idioma: | Inglés |
Publicado: |
Shelter Island, New York :
Manning Publications,
[2020]
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Temas: | |
Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
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