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Deep learning in Python : preventing overfitting.

Soubhik Barari, PhD student in Political Science, IQSS, at Harvard University, discusses techniques in Python to prevent overfitting data, including cross-validation and dropout layers.

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 ; 11.
Subjects:
Python (Computer program language)
Machine learning.
Neural networks (Computer science)
Python (Langage de programmation)
Apprentissage automatique.
Réseaux neuronaux (Informatique)
Machine learning
Online Access:Connect to this streaming video
Description
Summary:Soubhik Barari, PhD student in Political Science, IQSS, at Harvard University, discusses techniques in Python to prevent overfitting data, including cross-validation and dropout layers.
Physical Description:1 online resource (1 video file (00:03:53)) : sound, colour.
ISBN:9781526493453
1526493454