Deep Learning Using SAS Software (LiveWeb)
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Deep Learning Using SAS Software (LiveWeb)
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Description
This course introduces the essential components of deep learning. Participants learn how to build deep feedforward, convolutional, and recurrent networks. The neural networks are used to solve problems that include traditional classification, image classification, and time-dependent outcomes. The course also presents practical methods used to enhance training data to produce better models. Lastly, a method for efficiently searching hyperparameters is described.
Learn how to
- Define and understand deep learning.
- Build models using deep learning techniques.
- Apply models to score (inference) new data.
- Modify data for better analysis results.
- Search the hyperparameter space of a deep lear…
Foire aux questions (FAQ)
Il n'y a pour le moment aucune question fréquente sur ce produit. Si vous avez besoin d'aide ou une question, contactez notre équipe support.
This course introduces the essential components of deep learning. Participants learn how to build deep feedforward, convolutional, and recurrent networks. The neural networks are used to solve problems that include traditional classification, image classification, and time-dependent outcomes. The course also presents practical methods used to enhance training data to produce better models. Lastly, a method for efficiently searching hyperparameters is described.
Learn how to
- Define and understand deep learning.
- Build models using deep learning techniques.
- Apply models to score (inference) new data.
- Modify data for better analysis results.
- Search the hyperparameter space of a deep learning model.
Who should attend Machine learners and those interested in deep learning
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