Deep learning in Python : selecting hyperparameters.

Soubhik Barari, PhD student in Political Science, IQSS, at Harvard University, discusses the selection of hyperparameters in Python, including the selection of activation functions, determining the training batch size and the number of epochs to use, methods to reach an optimal set of weights, and c...

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Bibliographic Details
Other Authors: Barari, Soubhik (Academic.)
Format: Video
Language:English
Language Notes:Closed-captions in English.
Published: London : SAGE Publications Ltd, 2019.
Series:Deep Learning in Python ; 10.
Subjects:
Online Access:Connect to this streaming video
Description
Summary:Soubhik Barari, PhD student in Political Science, IQSS, at Harvard University, discusses the selection of hyperparameters in Python, including the selection of activation functions, determining the training batch size and the number of epochs to use, methods to reach an optimal set of weights, and choosing a metric of hyperparameters.
Physical Description:1 online resource (1 video file (00:10:56)) : sound, colour.
ISBN:9781526498625
1526498626