Deep Learning for Time Series Cookbook : Use PyTorch and Python recipes for forecasting, classification, and anomaly detection
Enregistré dans:
Auteur principal: | Cerqueira, Vitor. (Auteur) |
---|---|
Autres auteurs: | Roque, Luís. (Auteur) |
Support: | E-Book |
Langue: | Anglais |
Publié: |
Birmingham :
Packt Publishing.
|
Autres localisations: | Voir dans le Sudoc |
Accès en ligne: | Accès à l'E-book |
Documents similaires
-
Time Series Forecasting using Deep Learning : Combining PyTorch, RNN, TCN, and Deep Neural Network Models to Provide Production-Ready Prediction Solutions
par: Gridin, Ivan. -
Deep learning with PyTorch : a practical approach to building neural network models using PyTorch
par: Subramanian, Vishnu (19..-....).
Publié: 2018 -
The deep learning with PyTorch workshop : build deep neural networks and artificial intelligence applications with PyTorch
par: Saleh, Hyatt.
Publié: 2020 -
Machine Learning for Time-Series with Python : Forecast, predict, and detect anomalies with state-of-the-art machine learning methods
par: Auffarth, Ben.
Publié: 2021 -
Python deep learning : exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow
Publié: 2019